Differential Equations: Techniques, Theory, and Applications is designed for a modern first course in differential equations either one or two semesters in length. The organization of the book interweaves the three components in the subtitle, with each building on and supporting the others. Techniques include not just computational methods for producing solutions to differential equations, but also qualitative methods for extracting conceptual information about differential equations and the systems modeled by them. Theory is developed as a means of organizing, understanding, and codifying general principles. Applications show the usefulness of the subject as a whole and heighten interest in both solution techniques and theory. Formal proofs are included in cases where they enhance core understanding; otherwise, they are replaced by informal justifications containing key ideas of a proof in a more conversational format. Applications are drawn from a wide variety of fields: those in physical science and engineering are prominent, of course, but models from biology, medicine, ecology, economics, and sports are also featured. The 1,400+ exercises are especially compelling. They range from routine calculations to large-scale projects. The more difficult problems, both theoretical and applied, are typically presented in manageable steps. The hundreds of meticulously detailed modeling problems were deliberately designed along pedagogical principles found especially effective in the MAA study Characteristics of Successful Calculus Programs, namely, that asking students to work problems that require them to grapple with concepts (or even proofs) and do modeling activities is key to successful student experiences and retention in STEM programs. The exposition itself is exceptionally readable, rigorous yet conversational. Students will find it inviting and approachable. The text supports many different styles of pedagogy from traditional lecture to a flipped classroom model. The availability of a computer algebra system is not assumed, but there are many opportunities to incorporate the use of one.
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Differential Equations for Engineers and Scientists: Gong Cheng Shi Yu Ke Xue Jia Wei Fen Fang Cheng Yong Shu
Complex Numbers and Differential Equations
This method is called the Newton - Raphson method or is more frequently referred to as Newton's Method . The iterative function associated with Newton's method is given by G ( x ) = x f ( x ) / f ' ( x ) . Differentiating with respect ...
In order to derive the T - matrix one has to introduce the boundary conditions at S and expand the field on the outside ... 1 , ( 0.7 ) = ( î • E ( vo ) lô ( 3.10 ) The surface fields are expanded as -1 = Σb x q a a ( 3.11 ) pou ( 3.12 ) ...
The last inequality above is obtained by noting that 1 + hL g eLh implies (1+ hj+1L> - - - (1 + ML) s Witt—"1'), o s j s n. and also, n n t- tn 2 hj6L(t"_tj) g 2 / J eL(t"_t)dt I eLt"/ e_Ltdt I l(eLt" — 1). j:1 j:1 tjIl 0 ...
Interactive Differential Equations (IDE) is specifically and pedagogically designed for students taking a differential equations course.
... Ohio State University Douglas B. Meade , University of South Carolina Piotr Mikusinski , University of Central Florida John Neuberger , Northern Arizona University V. W. Noonburg , University of Hartford Jacek Polewczak , California ...
The terms sh , incorporate the rounding errors made in the evaluation of ( 34 ) , they are ( elementwise ) bounded by | Sh ; 1 s 14 ; 1 láš ; Inge + ! G ? Ilap Inge + 1 h ; le s 16 ; 1105 ; Inge + 1G ? lap lmp € + 1h ; le + ( 42 ) + 14 ...
Linear and Nonlinear Differential Equations