Abstract: Conjugate gradient techniques are widely used to solve unconstrained optimization issues. The accelerated conjugate gradient approach provides superior numerical effects for the ...

Abstract: There are two procedures for applying the method of conjugate gradients to the problem of minimizing a convex, nonlinear function: the “continued” method, and the “restarted” method in which ...

1 Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia 2 School of Quantitative Sciences, Institute of Strategic Industrial Decision ...

1 Division of Science, School of Science and Engineering, Tokyo Denki University, Saitama, Japan. 2 Department of Physics and Mathematics, College of Science and Engineering, Aoyama Gakuin University, ...

We’ve created 2 libraries my_library.hpp (which contains main implementation) and my_testing_library.hpp (which contains methods for testing) We’ve created 3 driver programs - solver.cpp (solves the ...

ABSTRACT: In this paper, a new conjugate gradient formula and its algorithm for solving unconstrained optimization problems are proposed. The given formula satisfies with satisfying the descent ...

make clean removes the compiled executable cg. make cg compiles the code with no funny business. make CFLAGS=-DVERIFY cg and max error is printed when cg runs. make ...