| testuo.pdf | Unconstrained Optimization Test Functions. Algebraic expression. |
| evalfg.for | Fortran expression of test functions and their gradients. |
| funcname.dat | Name of test functions. |
| inipoint.for | Initial points specification. |
| scalcg.for | SCALCG package - SCALed Conjugate Gradient Algorithm. Main program and subroutines. |
| scg.for | SCG package - Birgin and Martinez. (Modified) Main program and subroutines. |
| scwrev2.pdf | Scaled Conjugate Gradient Algorithm for Unconstrained Optimization (full paper). |
| ss1.pdf | Computational results for SCALCG. theta spectral, stoptest=1, Powell restart. |
| ss2.pdf | Computational results for SCALCG. theta spectral, stoptest=2, Powell restart. |
| sa1.pdf | Computational results for SCALCG. theta anticipative, stoptest=1, Powell restart. |
| sa2.pdf | Computational results for SCALCG. theta anticipative, stoptest=2, Powell restart. |
| bm1sa.pdf | Computational results for SCG by Birgin & Martinez. theta spectral, stoptest=1, angle restart. |
| bm2sa.pdf | Computational results for SCG by Birgin & Martinez. theta spectral, stoptest=2, angle restart. |
| testuo.pdf | Unconstrained Optimization Test Functions. |
| func.for | Fortran expression of test functions. |
| asa.for | Fortran code with Anticipative and a variant of Barzilai-Borwein algorithms. |
| paper.pdf | A new gradient descent method with an anticipative scalar approximation of Hessian for unconstrained
optimization (full paper). |
| asa.pdf | Numerical experiments with a gradient descent method using an anticipative scalar approximation of
Hessian for unconstrained optimization. |
| bb.pdf | Numerical experiments with a variant of Barzilai-Borwein method for unconstrained optimization. |
| asabb.pdf | Performance profiles: Anticipative algorithm versus Barzilai-Borwein algorithm, 310 problems. |
| testuo.pdf | Unconstrained Optimization Test Functions. |
| func.for | Fortran expression of test functions. |
| relax.pdf | Relaxed Gradient Descent Method with Backtracking for Unconstrained Optimization (full paper). |
| relaxed.pdf | Numerical experiments with Relaxed Gradient Descent Algorithm. 430 problems. |
| grad.pdf | Numerical experiments with Gradient Descent Algorithm. 360 problems. |
| rfpp.for | Fortran subroutines for PFI with a preassigned pivot procedure computation:
-determine a permutation of rows and columns of the matrix to "bump-and-spike" structure, -compute the "etavectors" of the matrix permuted to "bump-and-spike" form, -froward transformation of RHS term, -backward transformation of RHS term, -insitu permuation of a vector, -compress the arrays with the matrix. |
| sys.dat | Input file with some examples. |