# Diffusion Problem - Least-Square Gradient for Cartesian Grids Online Exam Quiz

Diffusion Problem - Least-Square Gradient for Cartesian Grids GK Quiz. Question and Answers related to Diffusion Problem - Least-Square Gradient for Cartesian Grids. MCQ (Multiple Choice Questions with answers about Diffusion Problem - Least-Square Gradient for Cartesian Grids

### A network that links many different types of computers all over the world.

**Options**

A : Intranet

B : Internet

C : Arpanet

D : LAN

### A service that allows a user to log in into another computer somewhere on the Internet.

**Options**

A : Telnet

B : FTP

C : e-mail

D : UseNet

### An internet service that allows the user to move a file.

**Options**

A : FTP

B : Telnet

C : UseNet

D : Time Sharing

### Anonymous FTP files are called ___ accessible files.

**Options**

A : Privately

B : Publicly

C : Batch

D : User

### Internet was evolved from the basic ideas of ARPANET.

**Options**

A : TRUE

B : FALSE

C : -

D : -

### The diagonal elements of the coefficient matrix obtained by applying the least-square to Cartesian grids are ___

**Options**

A : the ratio of the grid sizes and the weights in the x, y, z-directions

B : the product of the grid sizes and the weights in the x, y, z-directions

C : the weights in the x, y, z-directions

D : the grid sizes in the x, y, z-directions

### The gradient is found in the least-square method by solving __^ (Note: n is the number of dimensions)

**Options**

A : a system of n equations

B : a single equation

C : a system of n2 equations

D : a system of 2n equations

### The least-square method is __

**Options**

A : at least first-order accurate

B : at least second-order accurate

C : first-order accurate

D : second-order accurate

### The least-square method is exact when __

**Options**

A : the system is two-dimensional

B : the system is linear

C : the system is two-dimensional

D : the system is quadratic

### While using the Cartesian grids, the coefficient matrix becomes __

**Options**

A : a square matrix

B : an upper triangular matrix

C : a diagonal matrix

D : a lower triangular matrix

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