Computer Based Numerical And Statistical Techniques By Santosh Kumar Pdf
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- Computer Based Numerical and Statistical Techniques, 4/e
The advent increase in thirst for knowledge discovery has increased the need of robust algorithms in the process of knowledge discovery. Mining in general is termed as intrinsic methodology of discovering interesting, formerly unknown data patterns. Clustering can be termed as a set-grouping task where similar objects are being grouped together.
Computer Based Numerical and Statistical Techniques has been written to provide fundamental introduction of numerical analysis for the students who take a course on Engineering Mathematics and for the students of computer science engineering. The book has been divided into 14 chapters covering all important aspects starting from high speed computation to Interpolation and Curve Fitting to Numerical Integration and Differentiation and finally focusing on Test of Significance. Login Invalid login details.
Browsing Dr.Santhosh Kumar G by Issue Date
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Box, University of Dar es salaam, Tanzania. Mail: Academic Qualification: Ph. Mathematics from A. Aligarh, U. Computer Sc. Mathematics from Dr. Ambedkar Univ.
PROF. (Dr.) SANTOSH KUMAR
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Design of composite sandwich panels for lightweight applications in heavy vehicle systems , Thomas H. Characterization of self -healing composite materials , Kevin John Ford. Effects of the electric Kelvin force on spray cooling performance , Shannon Lynnette Glaspell. Large -eddy simulation of the effects of debris on tornado dynamics , Baiyun Gong. Development of a numerical model of a two-dimensional inertial gas separator , Henry Z.
Computer Based Numerical and Statistical Techniques, 4/e
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Creative use of new mobile and wearable health information and sensing technologies mHealth has the potential to reduce the cost of health care and improve well-being in numerous ways. These applications are being developed in a variety of domains, but rigorous research is needed to examine the potential, as well as the challenges, of utilizing mobile technologies to improve health outcomes. Currently, evidence is sparse for the efficacy of mHealth. Although these technologies may be appealing and seemingly innocuous, research is needed to assess when, where, and for whom mHealth devices, apps, and systems are efficacious.
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