My Account | Careers | Downloads | Blog

PROJECT TITLE :

Variational Methods with Applications in Science and Engineering [Bookshelf]

ABSTRACT:

The book underneath review, is for senior undergraduate and graduate students in engineering, the physical sciences, and applied mathematics. Within the course of reading the text, it becomes clear that the author has done an excellent job within the organization and presentation of the applications- oriented material. Cassell is sensitive to the training vogue of his audience and puts a nice deal of effort into motivating the material. He avoids the formal ???theorem-proof??? format and concentrates on the utility and variety of variational strategies. The text is divided into three elements. Half 1 develops the underlying theory of the calculus of variations, whereas Components a pair of and three are dedicated to applications. Overall, the text is obvious and provides an glorious introduction to the calculus of variations for engineers and applied scientists looking for a concise exposition of the theory with various applications. Many historical notes seem throughout the text, that helps students perceive the overall framework of variational calculus. Regrettably, although there are an ample number of finish-of-chapter exercises, no answers are provided.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Medical data wrangling with sequential variational autoencoders ABSTRACT: The majority of the time, medical data sets are flawed due to noise and gaps in the data. It is a common misconception that these missing
PROJECT TITLE : Robust Variational Learning for Multiclass Kernel Models With Stein Refinement ABSTRACT: The ability of kernel-based models to generalize well is impressive, but the vast majority of them, including the SVM, are
PROJECT TITLE : Short Text Topic Modeling Techniques, Applications, and Performance: A Survey ABSTRACT: The semantic understanding of short texts is required for a wide variety of real-world applications, so their analysis allows
PROJECT TITLE : Discriminative Mixture Variational Autoencoder for Semisupervised Classification ABSTRACT: For the purpose of feature extraction in semisupervised learning, a deep probability model known as the discriminative
PROJECT TITLE : A Novel Retinex-Based Fractional-Order Variational Model for Images With Severely Low Light ABSTRACT: A new fractional-order variational model based on Retinex is proposed in this research for low-light photos.

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry