| 000 | 01761nam a2200349 i 4500 | ||
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| 008 | 050901s2006 njuab b 001 0 eng | ||
| 010 | _a2005044611 | ||
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_a0471558141 _qcloth |
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| 020 | _a9780471558149 | ||
| 040 |
_aDLC _beng _cDLC _dBAKER _dUKM _dC#P _dYUS _dBAUN _erda |
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| 049 | _aBAUN_MERKEZ | ||
| 050 | 0 | 4 |
_aTA342 _b.R44 2006 |
| 082 | 0 | 0 | _222 |
| 100 | 1 |
_aRavindran, A., _d1944- |
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| 245 | 1 | 0 |
_aEngineering optimization : _bmethods and applications / _cA. Ravindran, K.M. Ragsdell, G.V. Reklaitis |
| 250 | _a2nd ed | ||
| 264 | 1 |
_aHoboken, N.J. : _bJohn Wiley and Sons, _c[2006] |
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| 264 | 4 | _c©2006 | |
| 300 |
_axv, 667 pages : _billustrations, map ; _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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| 504 | _aIncludes bibliographical references and indexes | ||
| 505 | 0 | 0 |
_tContents _t1 Introduction to optimization _t2 Functions of a single variable _t3 Functions of several variables _t4 Linear programming _t5 Constrained optimality criteria _t6 Transformation methods _t7 Constrained direct search _t8 Linearization methods for constrained problems _t9 Direction generation methods based on linearization _t10 Quadratic approximation methods for constrained problems _t11 Structured problems and algorithms _t12 Comparison of constrained optimization methods _t13 Strategies for optimization studies _t14 Engineering case studies _tApp. A Review of linear algebra _tApp. B Convex and concave functions _tApp. C Gauss-Jordan elimination scheme |
| 650 | 0 |
_aEngineering _xMathematical models |
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| 650 | 0 | _aMathematical optimization | |
| 700 | 1 |
_aReklaitis, G. V., _d1942- |
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| 700 | 1 | _aRagsdell, K. M | |
| 900 | _a30813 | ||
| 900 | _bsatın | ||
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_2lcc _cKT |
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_c27610 _d27610 |
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