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_a10.1007/978-981-15-5432-2 _2doi |
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_aAdvances in Multidisciplinary Analysis and Optimization _h[electronic resource] : _bProceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization / _cedited by Raviprakash R. Salagame, Palaniappan Ramu, Indira Narayanaswamy, Dhish Kumar Saxena. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2020. |
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300 |
_aXXII, 316 p. 216 illus., 175 illus. in color. _bonline resource. |
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336 |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aLecture Notes in Mechanical Engineering, _x2195-4364 |
|
505 | 0 | _aGerlach Shaping based Air Intake Duct Optimisation -- Multidisciplinary Analysis of a Re-entry Vehicle -- Optimization of multiple gravity assist trajectory with deep space maneuver using evolutionary algorithm -- Conceptual Design Optimization of High Altitude Airships having a Tri-lobed Envelope -- Multiobjective Aerodynamic Optimization of a Hypersonic Scramjet Inlet -- Study of Wing Flutter at Preliminary Stages of Design -- Coupled Aero-structural Simulation Techniques using High-fidelity Analysis and Design Tools -- Optimization Of B-Spline Launch Vehicle Payload Fairing -- Design of Vortex Flaps for Reducing Approach Speed of a Supersonic Naval Fighter Aircraft.-Performance comparison of discrete Kalman filter and dynamic programming methods for pavement roughness identification -- Multi-Disciplinary Optimization of Sensor Bracket. | |
520 | _aThis volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry. | ||
650 | 0 |
_aEngineering mathematics. _93254 |
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650 | 0 |
_aEngineering—Data processing. _931556 |
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650 | 0 |
_aMathematical optimization. _94112 |
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650 | 0 |
_aMachine learning. _91831 |
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650 | 1 | 4 |
_aMathematical and Computational Engineering Applications. _931559 |
650 | 2 | 4 |
_aOptimization. _940008 |
650 | 2 | 4 |
_aMachine Learning. _91831 |
700 | 1 |
_aSalagame, Raviprakash R. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _940009 |
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700 | 1 |
_aRamu, Palaniappan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _940010 |
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700 | 1 |
_aNarayanaswamy, Indira. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _940011 |
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700 | 1 |
_aSaxena, Dhish Kumar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _940012 |
|
710 | 2 |
_aSpringerLink (Online service) _940013 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9789811554315 |
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_iPrinted edition: _z9789811554339 |
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_iPrinted edition: _z9789811554346 |
830 | 0 |
_aLecture Notes in Mechanical Engineering, _x2195-4364 _940014 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-15-5432-2 |
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