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 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, ...

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

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 ...

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 ...

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 ...