DOT - Design Optimization Tools. DOT is a general-purpose gradient-based optimization software library that can be used to solve a wide variety of optimization problems. Users have to link the DOT library into their own program. DOT provides the optimization technology, while the rest of the program has to provide the required function evaluations needed to perform the optimization. These function evaluations can be linear or nonlinear functions of the design variables. They may be very simple analytical functions or may be highly complicated implicit functions, for example a non-linear structural finite element simulation. Very little formal knowledge of optimization techniques is needed to make efficient use of DOT. DOT can handle constrained, unconstrained, linear and non-linear optimization problems and can automatically calculate finite difference gradients needed during the optimization. DOT can also deal with user supplied gradients.

References in zbMATH (referenced in 62 articles )

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  1. Kim, Nam Ho; Yi, Kiyoung; Choi, Kyung Kook: A material derivative approach in design sensitivity analysis of three-dimensional contact problems (2002)
  2. Ohsaki, Makoto: Structural optimization for specified nonlinear buckling load factor. (2002)
  3. Balagangadhar, Dinesh; Roy, Subrata: Design sensitivity analysis and optimization of steady fluid-thermal systems (2001)
  4. Jensen, Hector A.: Structural optimal design of systems with imprecise properties: A possibilistic approach (2001)
  5. Kim, Nam Ho; Choi, Kyung Kook; Chen, Jiun Shyan: Die shape design optimization of sheet metal stamping process using meshfree method. (2001)
  6. Saramago, S. F. P.; Steffen, V. jun.: Trajectory modeling of robot manipulators in the presence of obstacles (2001)
  7. Balagangadhar, D.; Tortorelli, D. A.: Design of large-deformation steady elastoplastic manufacturing processes. II: Sensitivity analysis and optimization (2000)
  8. Kim, N. H.; Choi, K. K.; Chen, J. S.; Park, Y. H.: Meshless shape design sensitivity analysis and optimization for contact problem with friction (2000)
  9. Liu, Boyang; Haftka, Raphael T.; Akgün, Mehmet A.; Todoroki, Akira: Permutation genetic algorithm for stacking sequence design of composite laminates (2000)
  10. Ohsaki, Makoto: Optimization of geometrically non-linear symmetric systems with coincident critical points (2000)
  11. Rajadhyaksha, S. M.; Michaleris, P.: Optimization of thermal processes using an Eulerian formulation and application in laser surface hardening (2000)
  12. Xu, Suqiang; Grandhi, Ramana V.: Multipoint approximation development: Thermal structural optimization case study (2000)
  13. Gao, Z. Y.; Grandhi, R. V.: Sensitivity analysis and shape optimization for preform design in thermo-mechanical coupled analysis (1999)
  14. Hassani, Behrooz; Hinton, Ernest: Homogenization and structural topology optimization. Theory, practice and software (1999)
  15. Imam, M. H.: Shape optimization of umbrella-shaped concrete shells subjected to self-weight as the dominant load (1998)
  16. Patnaik, Suryan N.; Gendy, Atef S.; Berke, Laszlo; Hopkins, Dale A.: Modified fully utilized design (MFUD) method for stress and displacement constraints (1998)
  17. Zhao, Guoqun; Wright, Ed; Grandhi, Ramana V.: Perform die shape design in metal forming using an optimization method (1997)
  18. Patnaik, Surya N.; Coroneos, Rula M.; Guptill, James D.; Hopkins, Dale A.: Comparative evaluation of different optimization algorithms for structural design applications (1996)
  19. Wang, Zi-Xian; Tortorelli, Daniel A.; Dantzig, Jonathan A.: Sensitivity analysis and optimization of coupled thermal and flow problems with applications to contraction design (1996)
  20. Michaleris, Panagiotis; Tortorelli, Daniel A.; Vidal, Creto A.: Analysis and optimization of weakly coupled thermoelastoplastic systems with applications to weldment design (1995)