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| 008 | 080514t20082008nyua b 001 0 eng | ||
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_aUKM _beng _cUKM _dBTCTA _dBAKER _dYDXCP _dOHX _dBWX _dCDX _dOWU _dBAUN _erda |
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| 049 | _aBAUN_MERKEZ | ||
| 050 | 0 | 4 |
_aQA402.5 _b.B37 2008 |
| 100 | 1 | _aBartholomew-Biggs, Michael C | |
| 245 | 1 | 0 |
_aNonlinear optimization with engineering applications / _cby Michael Bartholomew-Biggs |
| 264 | 1 |
_aNew York : _bSpringer, _c[2008] |
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| 264 | 4 | _c©2008 | |
| 300 |
_axvi, 280 pages : _billustrations ; _c25 cm |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 490 | 1 |
_aSpringer optimization and its applications ; _vv. 19 |
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| 505 | 0 | 0 |
_tContents _t List of Figures _t List of Tables _t1 Introducing Optimization _t2 One-variable Optimization _t3 Applications in n Variables _t4 n-Variable Unconstrained Optimization _t5 Direct Search Methods _t6 Computing Derivatives _t7 The Steepest Descent Method _t8 Weak Line Searches and Convergence _t9 Newton and Newton-like Methods _t10 Quasi-Newton Methods _t11 Conjugate Gradient Methods _t12 A Summary of Unconstrained Methods _t14 Larger-Scale Problems _t15 Global Unconstrained Optimization _t16 Equality Constrained Optimization _t17 Linear Equality Constraints _t18 Penalty Function Methods _t19 Sequential Quadratic Programming _t20 Inequality Constrained Optimization _t21 Extending Equality Constraint Methods _t22 Barrier Function Methods _t23 Interior Point Methods _t24 A Summary of Constrained Methods _t25 The OPTIMA Software _t References _t Index |
| 650 | 0 | _aMathematical optimization | |
| 650 | 0 | _aNonlinear theories | |
| 650 | 0 | _aEngineering mathematics | |
| 830 | 0 |
_948617 _aSpringer optimization and its applications ; _vv. 19 |
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| 900 | _a31174 | ||
| 900 | _bsatın | ||
| 942 |
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