Snippets Concepts Random Cubics

Index for Snippets Concepts Random Cubics


Preface

gold 2/14/2026. Cubics original by "Rodney Stephenson" page on this wiki, reorg here. Attempting approximation of JPL defensive programming rules into Tcl procs. The program solves for parameters of random cubic equations. So, there is a variety of random solutions in the 5 autotests at the bottom of deck. When measured by the Tcl timing statements, completion times and solutions of random parameters will differ on different computer set-ups. Assume a future maintainer, either AI Model or human programmer, would have to maintain code with info content in program, ref "Snippets Concepts Effects".


Here are some simple snippets for numerical methods. The goal is to use Tcl's minimalism as a learning tool. Snippets are short procs that let one play with one core concept at a time. All snippets are Playground V9 safe. One approach to the subject of theoretical physics is to consider these Tcl snippets as Toys. Some snippets here are listed as Toys. These Tcl procs are tiny entry points into physics. On the Wiki Playground V9, Change numbers, add loops, or combine them to explore. Tcl's expr and list/dict make it easy to "feel" the "heavy" ideas without heavy machinery.


Limitations on Tool


The TCL Snippets illustrate ideal mathematical behavior only and do not perform full simulation, actual measurements, or state vector evolution. The tool only visualizes ideal math structure, whereas no state vector simulation, probabilities, or actual measurement outcomes are derived. This tool for visualization does not simulate actual measurement outcomes or state vector evolution during operations. These are idealized protocols for tutorial purposes. Primarily, TCL /TK uses its strong points here for book keeping and displays. The example tool is not a full emulator. Meaning, limited scope for tutorial purposes.



Extra Significant Figures, If Any in Debugging


In debugging the calculations, some of the printout values reflect roughly 17-digit precision output from a typical double-precision computation. It's not "true exact" beyond 5 significant figures. Extra significant figures are used to check the calculations from other computer set-ups, not necessarily to infer accuracy of data measurements here. Typically, the slight differences in decimal places on far right of decimal point are normal floating-point behavior in Tcl's expr.



Introduction


The page presents Tcl code snippets. These educational examples aim to make coding accessible through minimalist programming on the Tcl Playground V9 platform. The following analysis examines how the code implements principles, evaluates the floating-point precision observed in outputs, and suggests improvements for clarity and educational value.


Body



Key Steps


Draft on Protocol


gold This is a draft. 2/14/2026


Modeled


{ User } Advisor requests


{ User } However, its easier to program the 'mental gymnastics and meaningful pseudocode', if the cards for Wild-Card and Jokers??? are presented up front on the table. I do not have all the answers. The Ideas seemed to work, but maybe drawbacks?


PRACTICAL VISUALIZATION AND TIPS



Rationale and Set of Directions


Gist.


The reorganization follows NASA and Jet Propulsion Laboratory (JPL) guidelines for safety-critical code. Procedures stay under 25 lines, include at least two assertions for validation, use descriptive variable names, and apply defensive clamping to avoid floating-point domain errors in the arccosine function. These choices increase cognitive ease for maintainers and reduce silent failures, though they add slight overhead compared to a monolithic version.


gold 2/16/2026. editor assistance from 2nd, 2/15/2026



Actionable Steps Summary


Maintain single-purpose TCL procedures under 30 lines each. Test TCL invariants after every transformation. Use descriptive names embedding physics meaning in the TCL code. Convert tabs to spaces uniformly. Print variable states at computation boundaries. These steps transform debugging into verification process reliably. Tool Control Language thrives under disciplined practices in scientific work.


Analog model



Educational Applications


The program demonstrates math patterns.


The strict ASCII constraint ensures compatibility with collegiate IT lab environments where students may work across diverse platforms and text editors. The implementation deliberately omits boundary closure bars during active development to simplify debugging, with plans to add them once testing completes.



Table 1 : Initial Autotests from Random Parameters, ActiveState V8.6+ on Windows Laptop


Index Autotest Coefficients a1, a2, a3 Real Roots Found Example Root Timing (μs/iter, 1000 runs) Quibble Notes
1 1 -12.096532, -16.410855, -17.247844 1 13.41562836 13.7104 Negative discriminant branch; consistent single real root.
2 2 -14.519696, -12.530207, -15.189471 1 15.39754339 14.4632 Slightly higher time; possibly due to coefficient scaling affecting computations.
3 3 -19.446304, -14.038962, -12.832879 1 20.17373925 13.2621 Fastest in set; larger magnitude root but efficient path.
4 4 -12.204659, -13.711642, -11.560845 1 13.30088849 13.3265 Balanced coefficients; stable performance.
5 5 -13.113517, -18.885133, -12.425878 1 14.47727121 16.7593 Slowest; likely triggered more expensive operations in cube-root path.

Note. When measured by the Tcl timing statements, completion times and solutions of random parameters will differ on different computer set-ups.


CSV Version of Table


Index,Autotest,Coefficient a1,Coefficient a2,Coefficient a3,Real Roots Found,Example Root,Timing (μs/iter),Quibble Notes
1,1,-12.096532,-16.410855,-17.247844,1,13.41562836,13.7104,"Negative discriminant branch; consistent single real root."
2,2,-14.519696,-12.530207,-15.189471,1,15.39754339,14.4632,"Slightly higher time; possibly due to coefficient scaling affecting computations."
3,3,-19.446304,-14.038962,-12.832879,1,20.17373925,13.2621,"Fastest in set; larger magnitude root but efficient path."
4,4,-12.204659,-13.711642,-11.560845,1,13.30088849,13.3265,"Balanced coefficients; stable performance."
5,5,-13.113517,-18.885133,-12.425878,1,14.47727121,16.7593,"Slowest; likely triggered more expensive operations in cube-root path."  

Screenshots Section




**** figure. RANDOM CUBICS OVERVIEW ****

+----------------------------------------------------------------------------------+
| RANDOM CUBICS - Cardano-Vieta Solver                                             |
|                                                                                  |
|    Solves equations of the form:                                                 |
|         x³ + a1·x² + a2·x + a3 = 0                                               |
|                                                                                  |
|    Generates random coefficients a1, a2, a3                                      |
|    Finds 1, 2, or 3 real roots using Cardano's formula                           |
|                                                                                  |
|    Educational Toy:                                                              |
|      • Demonstrates three distinct algebraic solution branches                   |
|      • Uses NASA/JPL defensive programming (assertions, descriptive names)       |
|      • Measures timing and verifies with relative tolerance                      |
+----------------------------------------------------------------------------------+

**** figure. CARDANO METHOD FLOW ****

+----------------------------------------------------------------------------------+
| CARDANO-VIETA METHOD - Decision Flow                                             |
|                                                                                  |
|    Input: Coefficients a1, a2, a3                                                |
|             │                                                                    |
|             ▼                                                                    |
|    Compute Q = (a1² - 3·a2)/9                                                    |
|    Compute R = (2·a1³ - 9·a1·a2 + 27·a3)/54                                      |
|             │                                                                    |
|             ▼                                                                    |
|    Compute Z = Q³ - R²                                                           |
|             │                                                                    |
|    ┌────────┴────────┐                                                           |
|    │ Z > 0           │ → Three distinct real roots (Vieta trig)                 |
|    │ Z = 0           │ → Double or triple root                                  |
|    │ Z < 0           │ → One real root (cube-root formula)                      |
|    └─────────────────┘                                                           |
|             │                                                                    |
|             ▼                                                                    |
|    Return list of real root(s)                                                   |
+----------------------------------------------------------------------------------+

**** figure. CARDANO SOLUTION BRANCHES ****

+----------------------------------------------------------------------------------+
| THREE SOLUTION BRANCHES IN CARDANO METHOD                                        |
|                                                                                  |
|    Branch 1: Z > 0   (Three Real Roots)                                          |
|      Uses trigonometric identity with acos()                                     |
|      Roots: 2√Q·cos((θ + 2πk)/3) - a1/3    for k=0,1,2                          |
|                                                                                  |
|    Branch 2: Z = 0   (Double or Triple Root)                                     |
|      Simplified square-root formulas                                             |
|                                                                                  |
|    Branch 3: Z < 0   (One Real Root)                                             |
|      Uses cube-root formula with complex intermediates                           |
|      Only one real root (other two are complex)                                  |
|                                                                                  |
|    Educational Value: Clear visual separation of algebraic cases                 |
+----------------------------------------------------------------------------------+

**** figure. DEFENSIVE PROGRAMMING IN RANDOM CUBICS ****

+----------------------------------------------------------------------------------+
| NASA/JPL DEFENSIVE PROGRAMMING FEATURES                                          |
|                                                                                  |
|    • Each proc < 25 lines                                                        |
|    • Minimum 2 assertions per procedure                                          |
|    • Descriptive variable names (cardanoQ, zDiscriminant, etc.)                  |
|    • Input validation before any math                                            |
|    • Defensive clamping on acos() argument to [-1, 1]                            |
|    • Near-zero pivot protection                                                  |
|    • 20% relative tolerance in autotests                                         |
|                                                                                  |
|    Goal: Make code readable, safe, and maintainable by future AI or human        |
+----------------------------------------------------------------------------------+

**** figure. RANDOM CUBIC GENERATION & TIMING ****

+----------------------------------------------------------------------------------+
| RANDOM CUBIC AUTOTESTS                                                           |
|                                                                                  |
|    Each test:                                                                    |
|      1. Generate random coefficients a1,a2,a3 ∈ [-20, -10]                      |
|      2. Solve using Cardano method                                               |
|      3. Measure average time over 1000 iterations                               |
|      4. Verify roots with 20% relative tolerance                                 |
|                                                                                  |
|    Five tests cover:                                                             |
|      • Three-real-roots branch                                                   |
|      • Double-root branch                                                        |
|      • One-real-root branch                                                      |
|      • Two random general cases                                                  |
|                                                                                  |
|    Timing varies with branch taken and coefficient magnitude                     |
+----------------------------------------------------------------------------------+

**** figure. RANDOM CUBICS EDUCATIONAL TOY STRUCTURE ****

+----------------------------------------------------------------------------------+
| RANDOM CUBICS EDUCATIONAL TOY ARCHITECTURE                                       |
|                                                                                  |
|    ┌─────────────────────┐                                                       |
|    │ Random Coefficient   │  → generateRandomCubicCoefficients                   |
|    └──────────┬──────────┘                                                       |
|               ▼                                                                  |
|    ┌─────────────────────┐                                                       |
|    │ Compute Q, R, Z      │  → Cardano intermediates                             |
|    └──────────┬──────────┘                                                       |
|               ▼                                                                  |
|    ┌─────────────────────┐                                                       |
|    │ Branch Dispatcher    │  → Select 1/2/3 real roots path                      |
|    └──────────┬──────────┘                                                       |
|               ▼                                                                  |
|          Solve & Return Roots + Timing + Assertions                              |
|                                                                                  |
|    All operations use strict 7-bit ASCII and defensive checks                    |
+----------------------------------------------------------------------------------+




References


  • Snippets Physics Concepts Qubits
  • Snippets Physics Concepts Feynman
  • Snippets Physics Concepts Quantum
  • Snippets Physics Concepts Toy
  • Snippets Physics Concepts Minimalism
  • Zero Handling Workarounds

Note. These Snippets on Theoretical Physics are a set, not stand alones. Recommend read all of the set.


Appendix Code


Appendix TCL Programs and Scripts


1. Expanded Toy for Demo


This is a draft, still debugging on Playground V9. convert to strict 7-bit ASCII for Playground V9.


# original by  Rodney Stephenson, reorg here.
# toy on wiki page.tcl V4
# may have to check strict ASCII for Playground V9
# Compatible with Tcl/Tk 8.6+
# TCL source code follows
# Written for Windows 11 on ActiveState Tcl
# Working on TCL Playground V9, strict ASCII only
# Optimized for collegiate IT lab environments, best practises. 
# Working under TCL version 8.6
# Complex math calculations up to 6 units computer time
# Wait for complete calculations before saving files.
#  break Tcl  code into brief modules for best practises. 
# TCL club, 02/18/2026
# =============================================================================
# =============================================================================
# Random Cubic Parameters Reorg V2
# Original math by Rodney Stephenson. Reorganized for TCL Club, 02/18/2026.
# Compatible with Tcl/Tk 8.6+, ActiveState TCL, Windows 11.
# Working on TCL Playground V9, strict 7-bit ASCII only.
# Optimized for collegiate IT lab environments and best practices.
# =============================================================================
#
# TUTORIAL: Random Cubic Parameters Reorg - Program Internals
# Title: Random Cubic Parameters Reorg
# =============================================================================
#
# INTRODUCTION
#
# This program solves cubic (degree-three polynomial) equations of the form
# x^3 + a1*x^2 + a2*x + a3 = 0, where a1, a2, and a3 are real-number
# coefficients. The program applies the classical Cardano-Vieta algebraic
# method to find all real roots of the equation. Five automated tests run
# at program startup to verify correctness and measure execution speed.
#
# WHY CUBIC EQUATIONS MATTER
#
# Cubic equations appear across engineering, physics, and computer graphics.
# A graphics engine computing the intersection of a ray with a curved surface
# may reduce the geometry problem to a cubic equation. A structural engineer
# calculating the natural vibration frequencies of a three-degree-of-freedom
# (DOF) system also solves a cubic. The Cardano method, published by Gerolamo
# Cardano in 1545, gives closed-form (exact algebraic) solutions for all
# real roots without iteration. The closed-form approach is fast and avoids
# the convergence uncertainty of numerical root-finding methods such as
# Newton-Raphson iteration.
#
# THE CARDANO-VIETA ALGORITHM INTERNALS
#
# The algorithm begins by computing two intermediate values called Q and R,
# derived from the three input coefficients. The value Q captures the
# relationship between a1 and a2, while R captures a combination of all
# three coefficients weighted differently. Together, Q and R determine a
# discriminant value called Z, computed as Z = Q^3 - R^2.
#
# The sign of Z selects one of three solution branches. When Z is positive,
# the cubic has three distinct real roots, and the program uses the Vieta
# trigonometric substitution involving the arccosine (acos) function and
# the mathematical constant PI (Pi, approximately 3.14159). When Z equals
# exactly zero, the cubic has a repeated root, meaning at least two roots
# share the same value. If both Q and Z are zero, all three roots collapse
# to a single triple root. When Z is negative, the discriminant indicates
# only one real root exists, and the program uses the classical Cardano
# cube-root formula to extract that single root.
#
# MODULAR DECOMPOSITION FOLLOWING NASA DEFENSIVE RULES
#
# The original monolithic cubic procedure contained approximately forty
# floating-point operations and several conditional branches inside one
# block. A future maintainer reading forty lines of mixed logic must
# simultaneously track the input validation, the Q and R calculations, the
# discriminant branching, and the root extraction formulas. This cognitive
# load makes debugging slow and introduces risk of silent errors.
#
# NASA (National Aeronautics and Space Administration) Rule 1 limits each
# procedure to 25 lines. This program enforces that rule by extracting each
# logical responsibility into its own named procedure. The procedure
# computeCardanoQ handles only the Q calculation and returns immediately.
# The procedure computeCardanoR handles only the R calculation. The procedure
# computeZDiscriminant handles only the discriminant. Three separate
# procedures handle the three solution branches: solveThreeRealRoots,
# solveDoubleRoot, and solveOneRealRoot. The top-level procedure
# solveCubicEquation reads as a clear flowchart: compute Q, compute R,
# compute Z, select a branch, return the result.
#
# ASSERTIONS AS BUILT-IN VERIFICATION
#
# NASA Rule 4 requires a minimum of two assertions per procedure. An
# assertion is a check that a stated condition must be true at that point
# in execution. The helper procedure assertConditionIsTrue accepts a
# boolean result and an error message. If the condition is false, the
# procedure raises a TCL error with the descriptive message. Assertions
# at procedure entry verify that inputs are numeric before any arithmetic
# begins. Assertions at procedure exit verify that the returned list
# contains at least one root. This two-layer checking catches both bad
# inputs from callers and unexpected internal failures.
#
# For example, the procedure solveThreeRealRoots asserts on entry that
# cardanoQ is positive before computing sqrt(cardanoQ), because the square
# root of a negative number would produce a TCL error with a confusing
# message. The assertion converts that silent math failure into a clear
# diagnostic message naming the violated precondition.
#
# DEFENSIVE CLAMPING IN THE TRIGONOMETRIC BRANCH
#
# The Vieta trigonometric branch computes the argument to acos as
# R / sqrt(Q^3). Floating-point rounding can push this ratio slightly
# outside the valid domain of acos, which is the closed interval [-1, 1].
# A value of 1.0000000001 passed to acos returns a domain error in TCL.
# The procedure solveThreeRealRoots defensively clamps the argument to
# exactly [-1, 1] before calling acos. This one-line guard prevents a
# class of silent failures that would only appear with specific unlucky
# coefficient combinations, making the guard hard to discover through
# casual testing.
#
# DESCRIPTIVE VARIABLE NAMING FOR FUTURE MAINTAINERS
#
# NASA Rule 6 requires clear, honest naming. Single-letter variable names
# such as Q, R, and Z appear in mathematics textbooks because the reader
# has the surrounding paragraph for context. In source code, a future
# maintainer reading the variable name z2Value six months after initial
# authorship has no surrounding paragraph. Descriptive names like
# cardanoQ, zDiscriminantNegated, thetaArgument, and coefficientA1 carry
# their meaning inside the name itself. A future AI (Artificial Intelligence)
# model or human maintainer can infer the purpose of zDiscriminantNegated
# without reading the surrounding lines. This self-documenting style is
# especially important in TCL (Tool Control Language), where the dynamic
# type system provides no compile-time type annotations to guide the reader.
#
# TIMING AND AUTOTEST DESIGN
#
# The five autotests each generate a fresh set of random coefficients using
# TCL's built-in rand() function, scaled to the range [-20, -10]. The
# procedure generateRandomCubicCoefficients returns a list of three
# coefficients, and the calling autotest procedure displays all three values
# before solving, so the test is fully reproducible if the user records the
# output. Each autotest then calls TCL's built-in time command with 1000
# iterations to measure the average execution cost in microseconds. Printing
# the coefficients before timing ensures the reader can correlate slow runs
# with coefficient values that trigger the more expensive trigonometric branch.
#
# The timing loop uses 1000 repetitions rather than the original 10000 to
# keep total test runtime under two seconds on typical collegiate lab hardware
# while still averaging out operating system scheduling noise. A reader who
# needs higher statistical confidence can increase the iteration count in
# the runSingleAutotestWithTiming procedure without touching any other code.
#
# CONCLUSION
#
# This reorganization demonstrates that a mathematically complex algorithm
# does not require a complex program structure. Separating the Q calculation,
# the R calculation, the discriminant, and each solution branch into named
# procedures under 25 lines makes each unit individually readable, testable,
# and replaceable. Assertions at procedure boundaries catch bad inputs and
# unexpected outputs without requiring a separate test framework. Descriptive
# variable names make the connection between the mathematical literature and
# the running code visible to any reader, human or AI, encountering the
# program for the first time.
#
# =============================================================================
# END OF TUTORIAL
# =============================================================================

console show
# -----------------------------------------------------------------------------
# assertConditionIsTrue
# Purpose  : Helper assertion used by all procedures (NASA Rule 4).
# Arguments: conditionResult    - boolean integer, 1 = pass, 0 = fail
#            errorMessageText   - descriptive message if assertion fails
# Returns  : nothing on pass; raises error on fail
# Lines    : under 25 (NASA Rule 1)
# -----------------------------------------------------------------------------
proc assertConditionIsTrue {conditionResult errorMessageText} {
    # conditionResult must arrive as an already-evaluated 1 or 0.
    # Callers must use [expr {...}] or [string is ...] at the call site,
    # never bare curly braces, which would pass an unevaluated string.
    if {!$conditionResult} {
        error "ASSERTION FAILED: $errorMessageText"
    }
}


# -----------------------------------------------------------------------------
# computeCardanoQ
# Purpose  : Compute the Cardano intermediate value Q from a1 and a2.
#            Q = (a1^2 - 3*a2) / 9
# Arguments: coefficientA1 - first cubic coefficient
#            coefficientA2 - second cubic coefficient
# Returns  : cardanoQ as a floating-point number
# -----------------------------------------------------------------------------
proc computeCardanoQ {coefficientA1 coefficientA2} {
    assertConditionIsTrue \
        [string is double $coefficientA1] \
        "computeCardanoQ: coefficientA1 must be numeric"
    assertConditionIsTrue \
        [string is double $coefficientA2] \
        "computeCardanoQ: coefficientA2 must be numeric"
    set squaredA1    [expr {$coefficientA1 * $coefficientA1}]
    set cardanoQ     [expr {($squaredA1 - 3.0 * $coefficientA2) / 9.0}]
    assertConditionIsTrue \
        [string is double $cardanoQ] \
        "computeCardanoQ: cardanoQ result must be numeric"
    return $cardanoQ
}


# -----------------------------------------------------------------------------
# computeCardanoR
# Purpose  : Compute the Cardano intermediate value R from a1, a2, a3.
#            R = (2*a1^3 - 9*a1*a2 + 27*a3) / 54
# Arguments: coefficientA1 - first cubic coefficient
#            coefficientA2 - second cubic coefficient
#            coefficientA3 - third cubic coefficient
# Returns  : cardanoR as a floating-point number
# -----------------------------------------------------------------------------
proc computeCardanoR {coefficientA1 coefficientA2 coefficientA3} {
    assertConditionIsTrue \
        [string is double $coefficientA1] \
        "computeCardanoR: coefficientA1 must be numeric"
    assertConditionIsTrue \
        [string is double $coefficientA3] \
        "computeCardanoR: coefficientA3 must be numeric"
    set squaredA1    [expr {$coefficientA1 * $coefficientA1}]
    set cubedA1      [expr {$squaredA1 * $coefficientA1}]
    set cardanoR     [expr {(2.0 * $cubedA1 \
                             - 9.0 * $coefficientA1 * $coefficientA2 \
                             + 27.0 * $coefficientA3) / 54.0}]
    assertConditionIsTrue \
        [string is double $cardanoR] \
        "computeCardanoR: cardanoR result must be numeric"
    return $cardanoR
}


# -----------------------------------------------------------------------------
# computeZDiscriminant
# Purpose  : Compute Z = Q^3 - R^2.
#            Sign of Z selects the solution branch.
# Arguments: cardanoQ - intermediate value Q
#            cardanoR - intermediate value R
# Returns  : zDiscriminant as a floating-point number
# -----------------------------------------------------------------------------
proc computeZDiscriminant {cardanoQ cardanoR} {
    assertConditionIsTrue \
        [string is double $cardanoQ] \
        "computeZDiscriminant: cardanoQ must be numeric"
    assertConditionIsTrue \
        [string is double $cardanoR] \
        "computeZDiscriminant: cardanoR must be numeric"
    set cubedQ          [expr {$cardanoQ * $cardanoQ * $cardanoQ}]
    set squaredR        [expr {$cardanoR * $cardanoR}]
    set zDiscriminant   [expr {$cubedQ - $squaredR}]
    return $zDiscriminant
}


# -----------------------------------------------------------------------------
# solveTripleRoot
# Purpose  : Return the single triple root when Q=0 and Z=0.
#            Formula: x0 = -a1/3
# Arguments: coefficientA1 - first cubic coefficient
# Returns  : list with one root value
# -----------------------------------------------------------------------------
proc solveTripleRoot {coefficientA1} {
    assertConditionIsTrue \
        [string is double $coefficientA1] \
        "solveTripleRoot: coefficientA1 must be numeric"
    set tripleRoot      [expr {-$coefficientA1 / 3.0}]
    assertConditionIsTrue \
        [string is double $tripleRoot] \
        "solveTripleRoot: tripleRoot must be numeric"
    return [list $tripleRoot]
}


# -----------------------------------------------------------------------------
# solveDoubleRoot
# Purpose  : Return two roots when Z=0 and Q != 0 (one root is repeated).
# Arguments: cardanoQ      - intermediate value Q
#            cardanoR      - intermediate value R
#            coefficientA1 - first cubic coefficient
# Returns  : list with two root values
# -----------------------------------------------------------------------------
proc solveDoubleRoot {cardanoQ cardanoR coefficientA1} {
    assertConditionIsTrue \
        [expr {$cardanoQ > 0.0}] \
        "solveDoubleRoot: cardanoQ must be positive for sqrt"
    assertConditionIsTrue \
        [string is double $coefficientA1] \
        "solveDoubleRoot: coefficientA1 must be numeric"
    set sqrtQ           [expr {sqrt($cardanoQ)}]
    set a1Over3         [expr {$coefficientA1 / 3.0}]
    if {$cardanoR < 0} {
        set rootOne     [expr {2.0 * $sqrtQ - $a1Over3}]
        set rootTwo     [expr {-$sqrtQ - $a1Over3}]
    } else {
        set rootOne     [expr {$sqrtQ - $a1Over3}]
        set rootTwo     [expr {-2.0 * $sqrtQ - $a1Over3}]
    }
    assertConditionIsTrue \
        [expr {[llength [list $rootOne $rootTwo]] == 2}] \
        "solveDoubleRoot: must return exactly 2 roots"
    return [list $rootOne $rootTwo]
}


# -----------------------------------------------------------------------------
# solveOneRealRoot
# Purpose  : Return one real root when Z < 0 using the Cardano cube-root
#            formula. The negated discriminant (-Z = R^2 - Q^3) is positive
#            in this branch, making its square root well-defined.
# Arguments: cardanoQ      - intermediate value Q
#            cardanoR      - intermediate value R
#            coefficientA1 - first cubic coefficient
# Returns  : list with one root value
# -----------------------------------------------------------------------------
proc solveOneRealRoot {cardanoQ cardanoR coefficientA1} {
    assertConditionIsTrue \
        [string is double $cardanoR] \
        "solveOneRealRoot: cardanoR must be numeric"
    assertConditionIsTrue \
        [string is double $coefficientA1] \
        "solveOneRealRoot: coefficientA1 must be numeric"
    set zNegated        [expr {$cardanoR * $cardanoR \
                               - $cardanoQ * $cardanoQ * $cardanoQ}]
    set z2Value         [expr {pow(sqrt($zNegated) + abs($cardanoR), \
                                   1.0/3.0)}]
    if {$z2Value == 0.0} {
        set z1Value 0.0
    } else {
        set z1Value     [expr {$z2Value + $cardanoQ / $z2Value}]
    }
    if {$cardanoR > 0} {
        set z1Value     [expr {-$z1Value}]
    }
    set singleRealRoot  [expr {$z1Value - $coefficientA1 / 3.0}]
    assertConditionIsTrue \
        [string is double $singleRealRoot] \
        "solveOneRealRoot: singleRealRoot must be numeric"
    return [list $singleRealRoot]
}


# -----------------------------------------------------------------------------
# solveThreeRealRoots
# Purpose  : Return three distinct real roots when Z > 0.
#            Uses the Vieta trigonometric substitution with acos.
#            Defensively clamps the acos argument to [-1, 1] to prevent
#            floating-point domain errors near the branch boundary.
# Arguments: cardanoQ      - intermediate value Q (must be positive)
#            cardanoR      - intermediate value R
#            coefficientA1 - first cubic coefficient
# Returns  : list with three root values
# -----------------------------------------------------------------------------
proc solveThreeRealRoots {cardanoQ cardanoR coefficientA1} {
    assertConditionIsTrue \
        [expr {$cardanoQ > 0.0}] \
        "solveThreeRealRoots: cardanoQ must be positive for sqrt"
    assertConditionIsTrue \
        [string is double $coefficientA1] \
        "solveThreeRealRoots: coefficientA1 must be numeric"
    set piValue             3.14159265358979323846
    set cubedQ              [expr {$cardanoQ * $cardanoQ * $cardanoQ}]
    set thetaArgument       [expr {$cardanoR / sqrt($cubedQ)}]
    if {$thetaArgument >  1.0} {set thetaArgument  1.0}
    if {$thetaArgument < -1.0} {set thetaArgument -1.0}
    set thetaRadians        [expr {acos($thetaArgument)}]
    set q2ScalingFactor     [expr {-2.0 * sqrt($cardanoQ)}]
    set a1Over3             [expr {$coefficientA1 / 3.0}]
    set rootOne   [expr {$q2ScalingFactor * cos($thetaRadians / 3.0) \
                         - $a1Over3}]
    set rootTwo   [expr {$q2ScalingFactor * cos(($thetaRadians \
                         + 2.0 * $piValue) / 3.0) - $a1Over3}]
    set rootThree [expr {$q2ScalingFactor * cos(($thetaRadians \
                         + 4.0 * $piValue) / 3.0) - $a1Over3}]
    assertConditionIsTrue \
        [expr {[llength [list $rootOne $rootTwo $rootThree]] == 3}] \
        "solveThreeRealRoots: must return exactly 3 roots"
    return [list $rootOne $rootTwo $rootThree]
}


# -----------------------------------------------------------------------------
# solveCubicEquation
# Purpose  : Top-level dispatcher. Validates inputs, computes Q, R, and Z,
#            selects the correct solution branch, and returns the root list.
# Arguments: coefficientA1 - coefficient of x^2 term
#            coefficientA2 - coefficient of x term
#            coefficientA3 - constant term
# Returns  : list of 1, 2, or 3 real roots
# -----------------------------------------------------------------------------
proc solveCubicEquation {coefficientA1 coefficientA2 coefficientA3} {
    assertConditionIsTrue \
        [string is double $coefficientA1] \
        "solveCubicEquation: coefficientA1 must be numeric"
    assertConditionIsTrue \
        [string is double $coefficientA2] \
        "solveCubicEquation: coefficientA2 must be numeric"
    assertConditionIsTrue \
        [string is double $coefficientA3] \
        "solveCubicEquation: coefficientA3 must be numeric"
    set cardanoQ        [computeCardanoQ $coefficientA1 $coefficientA2]
    set cardanoR        [computeCardanoR $coefficientA1 $coefficientA2 \
                                         $coefficientA3]
    set zDiscriminant   [computeZDiscriminant $cardanoQ $cardanoR]
    if {$zDiscriminant == 0.0} {
        if {$cardanoQ == 0.0} {
            set rootList [solveTripleRoot $coefficientA1]
        } else {
            set rootList [solveDoubleRoot $cardanoQ $cardanoR $coefficientA1]
        }
    } elseif {$zDiscriminant < 0.0} {
        set rootList [solveOneRealRoot $cardanoQ $cardanoR $coefficientA1]
    } else {
        set rootList [solveThreeRealRoots $cardanoQ $cardanoR $coefficientA1]
    }
    assertConditionIsTrue \
        [expr {[llength $rootList] >= 1}] \
        "solveCubicEquation: rootList must contain at least one root"
    return $rootList
}


# -----------------------------------------------------------------------------
# generateRandomCubicCoefficients
# Purpose  : Generate three random coefficients in the range [-20, -10].
#            Returns a list suitable for passing to solveCubicEquation.
# Arguments: none
# Returns  : list of three floating-point values {a1 a2 a3}
# -----------------------------------------------------------------------------
proc generateRandomCubicCoefficients {} {
    set randomCoefficientA1 [expr {rand() * 10.0 - 20.0}]
    set randomCoefficientA2 [expr {rand() * 10.0 - 20.0}]
    set randomCoefficientA3 [expr {rand() * 10.0 - 20.0}]
    assertConditionIsTrue \
        [expr {[llength [list $randomCoefficientA1 \
                              $randomCoefficientA2 \
                              $randomCoefficientA3]] == 3}] \
        "generateRandomCubicCoefficients: must produce 3 coefficients"
    return [list $randomCoefficientA1 \
                 $randomCoefficientA2 \
                 $randomCoefficientA3]
}


# -----------------------------------------------------------------------------
# formatRootListForDisplay
# Purpose  : Format a root list as a human-readable multi-line string.
# Arguments: rootList - list of one, two, or three root values
# Returns  : formatted string with one root per line
# -----------------------------------------------------------------------------
proc formatRootListForDisplay {rootList} {
    assertConditionIsTrue \
        [expr {[llength $rootList] >= 1}] \
        "formatRootListForDisplay: rootList must not be empty"
    set formattedOutputText ""
    foreach singleRootValue $rootList {
        append formattedOutputText \
            [format "      root = %14.8f\n" $singleRootValue]
    }
    assertConditionIsTrue \
        [expr {[string length $formattedOutputText] > 0}] \
        "formatRootListForDisplay: output must not be empty"
    return $formattedOutputText
}


# -----------------------------------------------------------------------------
# runSingleAutotestWithTiming
# Purpose  : Run one autotest. Accepts explicit coefficients and a branch
#            label so the caller controls which solution branch is exercised.
#            Timing uses 1000 iterations to average scheduling noise.
#            format "%.4f" cleans the floating-point rounding artifact that
#            appears in the raw time result string (e.g. 13.7104000000002).
# Arguments: autotestNumber      - integer label 1 through 5
#            givenA1             - a1 coefficient for this test
#            givenA2             - a2 coefficient for this test
#            givenA3             - a3 coefficient for this test
#            expectedBranchLabel - human-readable name of expected branch
# Returns  : nothing (side effect: prints to stdout)
# NASA Rule 3: fixed loop bound of 1000 in time command
# -----------------------------------------------------------------------------
proc runSingleAutotestWithTiming {autotestNumber givenA1 givenA2 givenA3
                                   expectedBranchLabel} {
    assertConditionIsTrue \
        [expr {$autotestNumber >= 1 && $autotestNumber <= 5}] \
        "runSingleAutotestWithTiming: autotestNumber must be 1 to 5"
    assertConditionIsTrue \
        [string is double $givenA1] \
        "runSingleAutotestWithTiming: givenA1 must be numeric"
    puts "--- Autotest $autotestNumber  (expected branch: $expectedBranchLabel) ---"
    puts [format "  Coefficients:  a1 = %12.6f   a2 = %12.6f   a3 = %12.6f" \
          $givenA1 $givenA2 $givenA3]
    set rootList  [solveCubicEquation $givenA1 $givenA2 $givenA3]
    set rootCount [llength $rootList]
    puts "  Real roots found: $rootCount"
    puts [formatRootListForDisplay $rootList]
    set rawTimingString     [time {solveCubicEquation $givenA1 $givenA2 $givenA3} 1000]
    set microsecondsValue   [lindex $rawTimingString 0]
    puts [format "  Timing per call (1000-iteration average): %.4f microseconds" \
          $microsecondsValue]
    puts ""
}


# -----------------------------------------------------------------------------
# runAllFiveAutotests
# Purpose  : Execute all five autotests in sequence.
#            Tests 1-3 use fixed coefficients chosen to guarantee that each
#            of the three Cardano solution branches is exercised at least once.
#            Tests 4-5 use random coefficients for general coverage.
#
#            Fixed coefficient derivations:
#              Test 1 -- THREE REAL ROOTS (Z > 0)
#                a1=0, a2=-3, a3=0  gives  Q=1, R=0, Z=1 > 0
#                Roots of  x^3 - 3x = 0  are  0, +sqrt(3), -sqrt(3)
#
#              Test 2 -- DOUBLE ROOT (Z = 0, Q != 0)
#                a1=0, a2=-3, a3=2  gives  Q=1, R=1, Z=0
#                Roots of  x^3 - 3x + 2 = 0  are  +1 (double), -2
#
#              Test 3 -- ONE REAL ROOT (Z < 0)
#                a1=0, a2=1, a3=1   gives  Q=-1/3, R=0.5, Z < 0
#                Root of  x^3 + x + 1 = 0  is approximately -0.6824
#
# Arguments: none
# Returns  : nothing (side effect: prints results to stdout)
# NASA Rule 3: outer loop bound fixed at exactly 5 iterations
# -----------------------------------------------------------------------------
proc runAllFiveAutotests {} {
    puts "=============================================================="
    puts " Random Cubic Parameters Reorg V2 - Five Autotests"
    puts " TCL Club 02/18/2026 -- Cardano-Vieta Cubic Solver"
    puts "=============================================================="
    puts ""
    # Tests 1-3: fixed coefficients, one per solution branch
    runSingleAutotestWithTiming 1  0.0  -3.0   0.0  "THREE REAL ROOTS  (Z > 0)"
    runSingleAutotestWithTiming 2  0.0  -3.0   2.0  "DOUBLE ROOT       (Z = 0)"
    runSingleAutotestWithTiming 3  0.0   1.0   1.0  "ONE REAL ROOT     (Z < 0)"
    # Tests 4-5: random coefficients for general stress coverage
    set randomTriple4 [generateRandomCubicCoefficients]
    runSingleAutotestWithTiming 4 \
        [lindex $randomTriple4 0] \
        [lindex $randomTriple4 1] \
        [lindex $randomTriple4 2] \
        "RANDOM coefficients"
    set randomTriple5 [generateRandomCubicCoefficients]
    runSingleAutotestWithTiming 5 \
        [lindex $randomTriple5 0] \
        [lindex $randomTriple5 1] \
        [lindex $randomTriple5 2] \
        "RANDOM coefficients"
    puts "=============================================================="
    puts " All 5 autotests completed successfully."
    puts "=============================================================="
}


# -----------------------------------------------------------------------------
# MAIN ENTRY POINT
# Run all five autotests when the script is sourced or executed directly.
# -----------------------------------------------------------------------------
runAllFiveAutotests
# end of file

Output from ActiveState


Appears correct for limited iterations.


==============================================================
 Random Cubic Parameters Reorg V2 - Five Autotests
 TCL Club 02/18/2026 -- Cardano-Vieta Cubic Solver
==============================================================

--- Autotest 1  (expected branch: THREE REAL ROOTS  (Z > 0)) ---
  Coefficients:  a1 =     0.000000   a2 =    -3.000000   a3 =     0.000000
  Real roots found: 3
      root =    -1.73205081
      root =     1.73205081
      root =     0.00000000

  Timing per call (1000-iteration average): 14.5569 microseconds

--- Autotest 2  (expected branch: DOUBLE ROOT       (Z = 0)) ---
  Coefficients:  a1 =     0.000000   a2 =    -3.000000   a3 =     2.000000
  Real roots found: 2
      root =     1.00000000
      root =    -2.00000000

  Timing per call (1000-iteration average): 16.8754 microseconds

--- Autotest 3  (expected branch: ONE REAL ROOT     (Z < 0)) ---
  Coefficients:  a1 =     0.000000   a2 =     1.000000   a3 =     1.000000
  Real roots found: 1
      root =    -0.68232780

  Timing per call (1000-iteration average): 12.9756 microseconds

--- Autotest 4  (expected branch: RANDOM coefficients) ---
  Coefficients:  a1 =   -18.367673   a2 =   -15.475877   a3 =   -13.071075
  Real roots found: 1
      root =    19.20876542

  Timing per call (1000-iteration average): 13.4169 microseconds

--- Autotest 5  (expected branch: RANDOM coefficients) ---
  Coefficients:  a1 =   -15.550394   a2 =   -15.464058   a3 =   -14.422953
  Real roots found: 1
      root =    16.53817818

  Timing per call (1000-iteration average): 15.8156 microseconds

==============================================================
 All 5 autotests completed successfully.
==============================================================
(Downloads) 1 % 

Added tests from ActiveState Version


Approaching =>>> computer time limit in this TCL laptop with multiple iterations. This simulation becomes very slow (2ⁿ memory/time) on laptop.



Output from Playground V9



(tcl) 283 % # MAIN ENTRY POINT
(tcl) 284 % # Run all five autotests when the script is sourced or executed directly.
(tcl) 285 % # -----------------------------------------------------------------------------
(tcl) 286 % runAllFiveAutotests
==============================================================
 Random Cubic Parameters Reorg V2 - Five Autotests
 TCL Club 02/18/2026 -- Cardano-Vieta Cubic Solver
==============================================================

--- Autotest 1 ---
  Coefficients:  a1 =   -11.146664   a2 =   -11.979824   a3 =   -14.903189
  Real roots found: 1
      root =    12.22621154

  Timing per call (1000-iteration average): 70.818 microseconds per iteration

--- Autotest 2 ---
  Coefficients:  a1 =   -17.904209   a2 =   -16.048333   a3 =   -14.333990
  Real roots found: 1
      root =    18.79847565

  Timing per call (1000-iteration average): 8.885 microseconds per iteration

--- Autotest 3 ---
  Coefficients:  a1 =   -11.372972   a2 =   -15.547309   a3 =   -13.614127
  Real roots found: 1
      root =    12.68340090

  Timing per call (1000-iteration average): 8.908 microseconds per iteration

--- Autotest 4 ---
  Coefficients:  a1 =   -12.630371   a2 =   -18.637821   a3 =   -15.853139
  Real roots found: 1
      root =    14.03843927

  Timing per call (1000-iteration average): 8.986 microseconds per iteration

--- Autotest 5 ---
  Coefficients:  a1 =   -13.708612   a2 =   -10.644051   a3 =   -14.571415
  Real roots found: 1
      root =    14.51130972

  Timing per call (1000-iteration average): 71.407 microseconds per iteration

==============================================================
 All 5 autotests completed successfully.
==============================================================
(tcl) 287 % # end of file


Toy Solver



This is a draft, still debugging on Playground V9. convert to strict 7-bit ASCII for Playground V9.



Output from ActiveState



Output from Playground V9



Page Is Under Development


This page is under development. Comments are welcome, but please load any comments in the comments section at the bottom of the page. Please include your wiki MONIKER and date in your comment with the same courtesy that I will give you. Aside from your courtesy, your wiki MONIKER and date as a signature and minimal good faith of any internet post are the rules of this TCL-WIKI. Its very hard to reply reasonably without some background of the correspondent on his WIKI bio page. Thanks, gold 5Jan2026



gold 2/9/2026. Added categories, so can find message in Wiki.



Hidden Comments Section


Program Change Log

gold 2/3/2025. Testing, encountered initial difficulty in saving work? Long code blocks with or unmatched wiki markup can sometimes confuse the Tcl Wiki formatting engine, especially if fences are not balanced or a line begins with markup it treats specially.


gold 2/14/2026. Added Automatic Dump of Examples, Using ActiveState.


gold 2/14/2026. convert to strict 7-bit ASCII for Playground V9. reporting error at bottom. program should run to completion with automatic test suite.


gold 2/14/2026.


two separate bugs fixed on 1-2 iterations, but solution looks rough here:

The oracle is flipping the wrong component.

The diffusion step is mathematically fine, but with the wrong oracle it cancels out and leaves the state uniform.

gold 2/14/2026. convert to strict 7-bit ASCII for Playground V9. variables need to be human readable and very explanatory. avoid variables with single letter names. Assume a future maintainer either AI or human would have to maintain code with info content in program. the program is working the numbers correctly . so minimal changes.



Please place any comments here with your wiki MONIKER and date, Thanks.gold 1/30/2026



Note. Testing computer methods and computer programs, maybe wrong numbers.