AbstractA lucid description of the variable metric (DEP) method due to Davidon (1959), Flectcher and Powell (1963) is given. A newly developed FORTRAN IV Program FUNMIN-2, which is based on the original DFP-method incorporating a few computationally significant modifications has been compared with the FORTRAN version of the ALGOL procedure FLEPOMIN (1966). Results of computation for a number of well-known numerical examples are presented which prove the superiority of FUNMIN-2. The two programs were executed on a CDC 6400 computer
As a first step to the realization of a new computer program to solve general nonlinear optimization...
Function parametrization (FP) is a method to invert computer models that map physical parameters des...
Tools for computational differentiation transform a program that computes a numerical function F(x) ...
AbstractA lucid description of the variable metric (DEP) method due to Davidon (1959), Flectcher and...
A method for determining numerically local minima of differentiable functions of several variables i...
Recently developed quasi-Newton algorithms for unconstrained optimization focus on the solution of b...
Abstract. This is a method for determining numerically local minima of differentiable functions of s...
our results using the Fast Fourier Transformation, the N-body attraction problem, and the cubic spli...
We develop a class of methods for minimizing a nondifferentiable function which is the maximum of a...
The pioneering Fermi-Pasta-Ulam (FPU) numerical experiment played a major role in the history of com...
Two recent suggestions in the field of variable metric methods for function minimization are reviewe...
A method is presented for numerically determining local minima of differentiable functions of severa...
The numerical methods employed in the solution of many scientific computing problems require the com...
The Data Parallel Fortran (DPF) benchmark suite is designed for evaluating data parallel compilers a...
A computer program has been written for the determination of the D fractal dimension at low scale, o...
As a first step to the realization of a new computer program to solve general nonlinear optimization...
Function parametrization (FP) is a method to invert computer models that map physical parameters des...
Tools for computational differentiation transform a program that computes a numerical function F(x) ...
AbstractA lucid description of the variable metric (DEP) method due to Davidon (1959), Flectcher and...
A method for determining numerically local minima of differentiable functions of several variables i...
Recently developed quasi-Newton algorithms for unconstrained optimization focus on the solution of b...
Abstract. This is a method for determining numerically local minima of differentiable functions of s...
our results using the Fast Fourier Transformation, the N-body attraction problem, and the cubic spli...
We develop a class of methods for minimizing a nondifferentiable function which is the maximum of a...
The pioneering Fermi-Pasta-Ulam (FPU) numerical experiment played a major role in the history of com...
Two recent suggestions in the field of variable metric methods for function minimization are reviewe...
A method is presented for numerically determining local minima of differentiable functions of severa...
The numerical methods employed in the solution of many scientific computing problems require the com...
The Data Parallel Fortran (DPF) benchmark suite is designed for evaluating data parallel compilers a...
A computer program has been written for the determination of the D fractal dimension at low scale, o...
As a first step to the realization of a new computer program to solve general nonlinear optimization...
Function parametrization (FP) is a method to invert computer models that map physical parameters des...
Tools for computational differentiation transform a program that computes a numerical function F(x) ...