minimization of Boolean function by a method of Karnaugh maps. The program has the simple and convenient interface, evident image of received results of minimization.The program draws the so-called largest circle and displays the prime implicant solution. Program Features: -= Shows output in either SOP or POS format -= Create circuit from boolean formula -= Handle maximum 8 boolean variables -= Will find and eliminate redundant terms -= Will handle

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minimization of Boolean function by a method of Karnaugh maps. The program has the simple and convenient interface, evident image of received results of minimization.The program draws the so-called largest circle and displays the prime implicant solution. Program Features: -= Shows output in either SOP or POS format -= Create circuit from boolean formula -= Create VHDL or Verilog code from boolean formula -= Handle maximum 23 boolean variables -=

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minimization, root-finding, and linear programming. Product features include classes for minimizing univariate functions using golden section search and Brent’s method, minimizing multivariate functions using the downhill simplex method, Powell’s direction set method, the conjugate gradient method, and the variable metric (or quasi-Newton) method, simulated annealing, linear programming using the simplex method, least squares polynomial fitting,

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SMLogging components for errors/exceptions debug, tracing of messages, events - useful processing of errors and exceptions, send the bug reports with screenshot - control center: message processing, hints, help, idle, (de)activation, minimization/maximization, active control change, form change, changing any windows settings - trace the dataset: scroll, state change, value edit - trace the file/directory/drive change - NT events reader

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Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.

multilayer perceptron, fast training, regression, validation, approximation, neural network

Freeware for fast training, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.

multilayer perceptron, fast training, classification, validation, neural network, nearest neighbor classifier