Introduction to global optimization exploiting space filling curves

Introduction to Global Optimization Exploiting Space-Filling Curves provides an overview of classical and new results pertaining to the usage of space-filling curves in global optimization. The authors look at a family of derivative-free numerical algorithms applying space-filling curves to reduce the dimensionality of the global optimization problem; along with a number of unconventional idea…

Materi pokok pengetahuan nuklir; 1-9; PIPA 4432/3 SKS

No Inv.: 338-342/P/Perp/97/5c

Modelling and controlling hydropower plants

Hydroelectric power stations are a major source of electricity around the world; understanding their dynamics is crucial to achieving good performance. The electrical power generated is normally controlled by individual feedback loops on each unit. The reference input to the power loop is the grid frequency deviation from its set point, thus structuring an external frequency control loop. The b…

Manajemen sumber daya manusia

Bibliografi : hlm. 426-432 No Inv.: 144285/SM/Perp/14/1c

Everything is f*cked : a book about hope

Edisi

-

ISBN/ISSN

9780062888464

Deskripsi Fisik

274 hlm. ; 21 cm.

Judul Seri

-

No. Panggil

155.25 MAN e

Bayesian networks in R: with applications in systems biology

Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experiment…

Perilaku organisasional

Bibliografi : hlm. 203-211 No Inv.: 121218/PH/Perp/09/1c~128449,133694/SM/Perp/10/2c

Manajemen pendidikan aplikasinya dalam penyusunan rencana pengembangan Sekola…

No Inv.: 129773/S/Perp/11/1c~134528/SM/Perp/13/1c

The Movement environment rating scale (movers) : supporting physical developm…

Bibliografi : hlm. 68-70

A Multiple-testing approach to the multivariate Behrens-Fisher problem : with…

In statistics, the Behrens–Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples. In his 1935 paper, Fisher outlined an approach to the Behrens-Fisher problem. Since high-speed c…