This is the entrance exam paper for ISI MSQE Entrance Exam for the year 2010. Much more information on the ISI MSQE Entrance Exam and ISI MSQE Entrance preparation help available on http://crackdse.com
This is the entrance exam paper for ISI MSQE Entrance Exam for the year 2008. Much more information on the ISI MSQE Entrance Exam and ISI MSQE Entrance preparation help available on http://crackdse.com
This is the entrance exam paper for ISI MSQE Entrance Exam for the year 2010. Much more information on the ISI MSQE Entrance Exam and ISI MSQE Entrance preparation help available on http://crackdse.com
This is the entrance exam paper for ISI MSQE Entrance Exam for the year 2008. Much more information on the ISI MSQE Entrance Exam and ISI MSQE Entrance preparation help available on http://crackdse.com
Notebooks such as Jupyter give programming languages a level of interactivity approaching that of spreadsheets.
I present here an idea for a programming language specifically designed for an interactive environment similar to a notebook.
It aims to combining the power of a programming language with the usability of a spreadsheet.
Instead of free-form code, the user creates fields / columns, but these can be combined into tables and object classes.
By decoratively cycling through field elements, loops and other programming constructs can be created.
I give examples from classical computer science, machine learning and mathematical finance, specifically:
Nth Prime Number, 8 Queens, Poker Hand, Travelling Salesman, Linear Regression, VaR Attribution
Lenses, or more generally “optics”, are a technique that is indispensable to modern functional programming. However, implementations have veered between two extremes: incredible abstractive power with a steep learning curve; and limited domain-specific uses that can be picked up in minutes. Why can’t we have our cake and eat it too?
Goggles is a new Scala macro built over the powerful & popular Monocle optics library. It uses Scala’s macros and scandalously flexible syntax to create a compiler-checked mini-language to concisely construct, compose and apply optics, with a gentle, familiar interface, and informative compiler errors.
In this talk, I introduce the motivation for lenses, why lens usability is a problem that badly needs solving, and how the Goggles library, with Monocle, addresses this in an important way.
https://telecombcn-dl.github.io/2017-dlsl/
Winter School on Deep Learning for Speech and Language. UPC BarcelonaTech ETSETB TelecomBCN.
The aim of this course is to train students in methods of deep learning for speech and language. Recurrent Neural Networks (RNN) will be presented and analyzed in detail to understand the potential of these state of the art tools for time series processing. Engineering tips and scalability issues will be addressed to solve tasks such as machine translation, speech recognition, speech synthesis or question answering. Hands-on sessions will provide development skills so that attendees can become competent in contemporary data anlytics tools.
Notebooks such as Jupyter give programming languages a level of interactivity approaching that of spreadsheets.
I present here an idea for a programming language specifically designed for an interactive environment similar to a notebook.
It aims to combining the power of a programming language with the usability of a spreadsheet.
Instead of free-form code, the user creates fields / columns, but these can be combined into tables and object classes.
By decoratively cycling through field elements, loops and other programming constructs can be created.
I give examples from classical computer science, machine learning and mathematical finance, specifically:
Nth Prime Number, 8 Queens, Poker Hand, Travelling Salesman, Linear Regression, VaR Attribution
Lenses, or more generally “optics”, are a technique that is indispensable to modern functional programming. However, implementations have veered between two extremes: incredible abstractive power with a steep learning curve; and limited domain-specific uses that can be picked up in minutes. Why can’t we have our cake and eat it too?
Goggles is a new Scala macro built over the powerful & popular Monocle optics library. It uses Scala’s macros and scandalously flexible syntax to create a compiler-checked mini-language to concisely construct, compose and apply optics, with a gentle, familiar interface, and informative compiler errors.
In this talk, I introduce the motivation for lenses, why lens usability is a problem that badly needs solving, and how the Goggles library, with Monocle, addresses this in an important way.
https://telecombcn-dl.github.io/2017-dlsl/
Winter School on Deep Learning for Speech and Language. UPC BarcelonaTech ETSETB TelecomBCN.
The aim of this course is to train students in methods of deep learning for speech and language. Recurrent Neural Networks (RNN) will be presented and analyzed in detail to understand the potential of these state of the art tools for time series processing. Engineering tips and scalability issues will be addressed to solve tasks such as machine translation, speech recognition, speech synthesis or question answering. Hands-on sessions will provide development skills so that attendees can become competent in contemporary data anlytics tools.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Cosmetic shop management system project report.pdf
0.0. punto fijo
1. Cálculo de la raíz de una ecuación no lineal mediante el Método Numérico del Punto_Fijo
Ing. Néstor Augusto Oyarce Linares
Utilizando macros VBA de Excel
naoyarcel@gmail.com
2. aPuntoFijoGrafica - 1
Option Explicit
Sub XY_10_Dic_2020_2()
Dim X As Double, Y As Double, i As Integer, X1 As Double, X0 As Double, XX As Double
Dim Err As Double, YD As Double, j As Integer, gx0 As Double, gx As Double
'Método Numérico de Punto Fijo
'10 de Diciembre de 2020, ejercicio 2
Cells.Clear
Cells(1, 1).Value = " ECUACION : "
Cells(3, 1).Value = " X^3+2*X^2+10*X-20"
Cells(1, 2).Value = " ENSAYOS : "
Cells(3, 2).Value = " X "
Cells(3, 3).Value = " Y "
For i = 1 To 10
X = 1 + i / 10
Y = (X) ^ (3) + 2 * (X) ^ (2) + 10 * X - 20
Cells(i + 3, 2).Value = X
Cells(i + 3, 3).Value = Y
If Y > 0 Then Exit For
Next i
End Sub
Sub Crea_grafico()
Dim grafico As ChartObject
Dim wks As Worksheet
Set wks = ActiveWorkbook.Sheets("Hoja1")
Set grafico = wks.ChartObjects.Add(Left:=400, Width:=450, Top:=50, Height:=200)
grafico.Name = "Grafico_1"
grafico.Chart.ChartType = xlXYScatterSmoothNoMarkers
grafico.Chart.SetSourceData Source:=wks.Range("B4:D15")
End Sub
' Ing. Néstor Augusto Oyarce Linares
4. bPuntoFijoCalculo - 1
Option Explicit
Sub PuntoFijoParte2()
Dim X1 As Double, X2 As Double, Y As Double, j As Integer
Dim X As Double, Error As Double, gx As Double
Cells.Clear
Cells(1, 2).Value = "Método Numérico de Punto Fijo"
Cells(1, 3).Value = "Valor de X"
Cells(1, 4).Value = "Valor de Y"
Cells(1, 5).Value = " Xf"
Cells(1, 6).Value = " Yf"
Cells(1, 7).Value = "Iteraciones"
X = 1.37
Cells(2, 3).Value = X
For j = 1 To 10
gx = 20 / (X ^ (2) + 2 * X + 10)
Error = Abs(gx - X)
X = gx
Cells(j + 2, 3).Value = X
Cells(j + 2, 4).Value = gx
If Error <= 0.0000001 Then Exit For
Next j
Y = X ^ (3) + 2 * X ^ (2) + 10 * X - 20
Cells(3, 5).Value = X
Cells(3, 6).Value = Y
Cells(3, 7).Value = j
Range("E1", "E4").Font.Bold = True
Range("E1", "E4").Font.Color = RGB(8, 44, 196)
Cells.EntireColumn.AutoFit
End Sub
' Ing. Néstor Augusto Oyarce Linares
5. Método Numérico de Punto Fijo Valor de X Valor de Y Xf Yf Iteraciones
1.37
1.368279184 1.368279184 1.368808461 7.45675E-06 11
1.369042873 1.369042873
1.368703915 1.368703915
1.368854352 1.368854352
1.368787583 1.368787583
1.368817217 1.368817217
1.368804065 1.368804065
1.368809902 1.368809902
1.368807311 1.368807311
1.368808461 1.368808461