000			02835cam a2200313 i 4500
001			17621245
003			EG-ScBUE
005			20240923111803.0
008			130211s2013 enka f b f001 0 eng d
020			_a9781107004122 (hardback)
020			_a1107004128 (hardback)
040			_aDLC _beng _erda _cDLC _dDLC _dEG-ScBUE
082	0	4	_222 _a512.9434 _bCOO
100	1		_aCo, Tomas B., _d1959- _eauthor. _940258
245	1	0	_aMethods of applied mathematics for engineers and scientists / _cTomas B. Co., Michigan Technological University.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 volume (various pagings) : _billustrations ; _c26 cm
336			_2rdacontent _atext _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: 1. Matrix algebra; 2. Solution of multiple equations; 3. Matrix analysis; 4. Vectors and tensors; 5. Integral theorems; 6. Ordinary differential equations: analytical solutions; 7. Numerical solution of initial and boundary value problems; 8. Qualitative analysis of ordinary differential equations; 9. Series solutions of linear ordinary differential equations; 10. First order partial differential equations and the method of characteristics; 11. Linear partial differential equations; 12. Integral transform methods; 13. Finite difference methods; 14. Method of finite elements.
520			_a"Based on course notes from over twenty years of teaching engineering and physical sciences at Michigan Technological University, Tomas Co's engineering mathematics textbook is rich with examples, applications, and exercises. Professor Co uses analytical approaches to solve smaller problems to provide mathematical insight and understanding, and numerical methods for large and complex problems. The book emphasizes applying matrices with strong attention to matrix structure and computational issues such as sparsity and efficiency. Chapters on vector calculus and integral theorems are used to build coordinate-free physical models with special emphasis on orthogonal coordinates. Chapters on ODEs and PDEs cover both analytical and numerical approaches. Topics on analytical solutions include similarity transform methods, direct formulas for series solutions, bifurcation analysis, Lagrange-Charpit formulas, shocks/rarefaction and others. Topics on numerical methods include stability analysis, DAEs, high-order finite-difference formulas, Delaunay meshes, and others. MATLAB; implementations of the methods and concepts are fully integrated"--
650		7	_aMatrices. _2BUEsh _97107
650		7	_aDifferential equations _xNumerical solutions. _2BUEsh _936429
653			_bENGGEN _cJune2016
655			_vReading book
942			_2ddc _cBB
999			_c21924 _d21896