Books on the topic 'Optimization variable'

Eichfelder, Gabriele. Variable Ordering Structures in Vector Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54283-1.

Freeman, T. L. Parallel projected variable metric algorithms for unconstrained optimization. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1989.

Freeman, T. L. Parallel projected variable metric algorithms for unconstrained optimization. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

1943-, Sano Akira, and Atherton Derek P, eds. State variable methods in automatic control. Chichester [England]: Wiley, 1988.

Zaslavski, Alexander J., Simeon Reich, and B. Sh Mordukhovich. Nonlinear analysis and optimization: Workshop on Nonlinear Analysis and Optimization, June 12, 2014, Technion--Israel Institute of Technology, Haifa, Israel : IMU/AMS Special Session on Nonlinear Analysis and Optimization, June 16-19, 2014, Bar-Ilan University and Tel-Aviv Universities, Ramat-Gan and Tel-Aviv, Israel. Providence, Rhode Island: American Mathematical Society, 2016.

Burgdorf, Sabine, Igor Klep, and Janez Povh. Optimization of Polynomials in Non-Commuting Variables. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33338-0.

Joydeep, Dutta, ed. Optimality conditions in convex optimization: A finite-dimensional view. Boca Raton: CRC Press, 2012.

Agranovskiĭ, M. L. (Mark Lʹvovich), ed. Complex analysis and dynamical systems IV: May 18-22, 2009, Nahariya, Israel. Providence, R.I: American Mathematical Society, 2011.

Shou-Yang, Wang, and Lai Kin Keung, eds. Generalized convexity and vector optimization. Berlin: Springer, 2009.

Eldar, Yonina C., and Daniel P. Palomar. Convex optimization in signal processing and communications. Cambridge, UK: Cambridge University Press, 2010.

James, Benjamin B. Multidisciplinary optimization of a controlled space structure using 150 design variables. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

James, Benjamin B. Multidisciplinary optimization of a controlled space structure using 150 design variables. Hampton, Va: Langley Research Center, 1992.

Minimization methods for non-differentiable functions. Berlin: Springer-Verlag, 1985.

C, Montgomery Douglas, ed. Response surface methodology: Process and product optimization using designed experiments. New York: Wiley, 1995.

Myers, Raymond H. Response surface methodology: Process and product optimization using designed experiments. 3rd ed. Hoboken, N.J: Wiley, 2008.

C, Montgomery Douglas, ed. Response surface methodology: Process and product optimization using designed experiments. 2nd ed. New York: J. Wiley, 2002.

N, Iusem Alfredo, ed. Totally convex functions for fixed points computation and infinite dimensional optimization. Dordrecht: Kluwer Academic Publishers, 2000.

Israel) International Conference on Complex Analysis and Dynamical Systems (6th 2013 Nahariyah. Israel mathematical conference proceedings: Complex analysis and dynamical systems VI, sixth international conference, in honor of David Shoikhet's 60th birthday : May 19-24, 2013, Nahariya, Israel. Edited by Agranovskiĭ, M. L. (Mark Lʹvovich), editor and Shoiykhet David 1953-. Providence, Rhode Island: American Mathematical Society, 2015.

Gilbert, Robert P. Direct and Inverse Problems of Mathematical Physics. Boston, MA: Springer US, 2000.

S, Luis A. Romo. Planeamiento y optimización de la experimentación científica: Diseño de experimentos. Quito, Ecuador: Editorial Universitaria, 2002.

C, Oliveira Mauricio, Putinar Mihai 1955-, and SpringerLink (Online service), eds. Mathematical Methods in Systems, Optimization, and Control: Festschrift in Honor of J. William Helton. Basel: Springer Basel, 2012.

service), SpringerLink (Online, ed. Introduction to Piecewise Differentiable Equations. New York, NY: Springer New York, 2012.

Borwein, Jonathan M. Convex functions: Constructions, characterizations and counterexamples. Cambridge: Cambridge University Press, 2010.

Hiriart-Urruty, Jean-Baptiste. Fundamentals of convex analysis. Berlin: Springer, 2001.

1944-, Lemaréchal Claude, ed. Fundamentals of convex analysis. Berlin: Springer, 2001.

Southeast Geometry Seminar (15th 2009 University of Alabama at Birmingham). Geometric analysis, mathematical relativity, and nonlinear partial differential equations: Southeast Geometry Seminars Emory University, Georgia Institute of Technology, University of Alabama, Birmingham, and the University of Tennessee, 2009-2011. Edited by Ghomi Mohammad 1969-. Providence, Rhode Island: American Mathematical Society, 2013.

P, Minicozzi William, ed. A course in minimal surfaces. Providence, R.I: American Mathematical Society, 2011.

Schurz, Henri, Philip J. Feinsilver, Gregory Budzban, and Harry Randolph Hughes. Probability on algebraic and geometric structures: International research conference in honor of Philip Feinsilver, Salah-Eldin A. Mohammed, and Arunava Mukherjea, June 5-7, 2014, Southern Illinois University, Carbondale, Illinois. Edited by Mohammed Salah-Eldin 1946- and Mukherjea Arunava 1941-. Providence, Rhode Island: American Mathematical Society, 2016.

Eichfelder, Gabriele. Variable Ordering Structures in Vector Optimization. Springer, 2016.

Eichfelder, Gabriele. Variable Ordering Structures in Vector Optimization. Springer, 2014.

Thokala, Praveen. Airfoil shape optimization using variable-complexity methods. 2005.

Jairath, Anoop. Control Systems a State Variable Approach. Taylor & Francis Group, 2008.

Guo, Jian. A class of variable-metric-secant algorithms for unconstrained minimization. 1993.

Optimization with variable-fidelity models applied to wing design. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

Pattern Search Algorithms for Mixed Variable General Constrained Optimization Problems. Storming Media, 2002.

Control design variable linking for optimization of structural/control systems. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

Bernard, Grossman, and United States. National Aeronautics and Space Administration., eds. Variable-complexity multidisciplinary optimization on parallel computers: Final report, NAG-1-1562. Blacksburg, Va: MAD Center, Virginia Polytechnic Institute and State University, 1998.

Bernard, Grossman, and United States. National Aeronautics and Space Administration., eds. Variable-complexity multidisciplinary optimization on parallel computers: Final report, NAG-1-1562. Blacksburg, Va: MAD Center, Virginia Polytechnic Institute and State University, 1998.

Bernard, Grossman, and United States. National Aeronautics and Space Administration., eds. Variable-complexity multidisciplinary optimization on parallel computers: Final report, NAG-1-1562. Blacksburg, Va: MAD Center, Virginia Polytechnic Institute and State University, 1998.

A Variable-Complexity Modeling Approach to Scramjet Fuel Injection Array Design Optimization. Storming Media, 1998.

Pattern Search Ranking and Selection Algorithms for Mixed-Variable Optimization of Stochastic Systems. Storming Media, 2004.

Institute for Computer Applications in Science and Engineering., ed. Practical aspects of variable reduction formulations and reduced basis algorithms in multidisciplinary design optimization. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

McGuire, Joseph. The characterization and simplex optimization of a variable-diameter, multielectrode, direct current plasma for atomic emission spectroscopy. 1989.

LAND.TECHNIK 2022. VDI Verlag, 2022. http://dx.doi.org/10.51202/9783181023952.

Prussing, John E. Parameter Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811084.003.0002.

Dutta, Joydeep, and Anulekha Dhara. Optimality Conditions in Convex Optimization: A Finite-Dimensional View. Taylor & Francis Group, 2017.

1934-, Jameson Antony, and Research Institute for Advanced Computer Science (U.S.), eds. A comparison of design variables for control theory based airfoil optimization. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1995.

Butnariu, D., and A. N. Iusem. Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization (Applied Optimization). Springer, 2000.

Björn, Hagströmer, and Federal Reserve Bank of St. Louis., eds. Mean-variance vs. full-scale optimization: Broad evidence for the uk. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2007.

Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.