Showing 3 open source projects for "integer"

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    ntuacarlo

    A open-source implementation library of optimization algorithms

    ntuacarlo: library of open-source implementation of optimization algorithms for Matlab/GNU Octave The library implements matlab functions for the following optimization algorithms: Simulated Annealing Particle Swarm Optimization Monte Carlo Exhaustive search The signature of the functions follow the same as the ga() function of Matlab. All the functions support lower and upper bounds, linear and non-linear constraints, and integer variables.Octave
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  • 2
    Algorithms Math Models

    Algorithms Math Models

    MATLAB implementations of algorithms

    Algorithms_MathModels is a large MATLAB collection of algorithms and solved examples targeted at students and teams preparing for mathematical modeling competitions (national and international contests like MCM/ICM). The repository gathers implementations and case studies across many topics commonly used in contest solutions: optimization (linear, integer, goal and nonlinear programming), heuristic and metaheuristic methods (simulated annealing, genetic algorithms, immune algorithms), neural networks and time-series methods, interpolation and regression, graph theory, cellular automata, grey systems, fuzzy models, partial/ordinary differential equations, and multivariate analysis, among others. ...
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  • 3

    octave-intinf

    Infinite-precision integer arithmetic for Octave, written in Octave

    Octave code to perform arbitrary-precision integer arithmetic. It may or may not work in Matlab. The supported operations are: >> s = a = intinf (126) % Creation of intinf-class object from integer or string >> b = intinf ('-792716404922304611755050042308687') >> c = a + b % Addition >> d = a - b % Subtraction >> e = c * d % Multiplication >> f = (e - a^2) / b % Exponentiation, division >> f == -b % Logical operators >> [q, r] = intinf_divide (b^2, a) % Divsion and remainder >> x = intinf_rand (100) % Random number (here, with 100 digits) TODO: * Better errors...
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