Category: Algorithms & Data Structures

(See the attached pdf for complete details)
Map Routing:
Implement the classic Dijkstra’s shortest path algorithm and optimize it for maps. Such algorithms are widely used in geographic information systems (GIS) including MapQuest and GPS-based car navigation systems.
Your goal:
Optimize Dijkstra’s algorithm so that it can process thousands of shortest path queries for a given map. Once you read in (and optionally preprocess) the map, your program should solve shortest path problems in sublinear time. One method would be to precompute the shortest path for all pairs of vertices; however you cannot afford the quadratic space required to store all of this information. Your goal is to reduce the amount of work involved per shortest path computation, without using excessive space. We suggest a number of potential ideas below which you may choose to implement. Or you can develop and implement your own ideas.
You need to implement 2 improvement ideas, in order to get full points on the coding part. If you come up with your own ideas, you will get extra credits. (up to 10 points)

(See the attached pdf for complete details)
Map Routing:
Implement the classic Dijkstra’s shortest path algorithm and optimize it for maps. Such algorithms are widely used in geographic information systems (GIS) including MapQuest and GPS-based car navigation systems.
Your goal:
Optimize Dijkstra’s algorithm so that it can process thousands of shortest path queries for a given map. Once you read in (and optionally preprocess) the map, your program should solve shortest path problems in sublinear time. One method would be to precompute the shortest path for all pairs of vertices; however you cannot afford the quadratic space required to store all of this information. Your goal is to reduce the amount of work involved per shortest path computation, without using excessive space. We suggest a number of potential ideas below which you may choose to implement. Or you can develop and implement your own ideas.
You need to implement 2 improvement ideas, in order to get full points on the coding part. If you come up with your own ideas, you will get extra credits. (up to 10 points)

Am looking to dashboard either using excel or power BI. The dashboard purpose is to show following using charts, trends .. :
1- live daily inventory level with minimum and maximum constraints.
2- the planned sales figures for coming month. 3- the planned production daily rate for coming month. 4- figures to present the actual sales compared with planned
5- the dashboard shall be easy to be updated daily

(See the attached pdf for complete details)
Map Routing:
Implement the classic Dijkstra’s shortest path algorithm and optimize it for maps.
Such algorithms are widely used in geographic information systems (GIS) including
MapQuest and GPS-based car navigation systems.
Your goal:
Optimize Dijkstra’s algorithm so that it can process thousands of shortest
path queries for a given map. Once you read in (and optionally preprocess) the map,
your program should solve shortest path problems in sublinear time. One method
would be to precompute the shortest path for all pairs of vertices; however you cannot
afford the quadratic space required to store all of this information. Your goal is to
reduce the amount of work involved per shortest path computation, without using
excessive space. We suggest a number of potential ideas below which you may
choose to implement. Or you can develop and implement your own ideas.
You need to implement 2 improvement ideas, in order to get full points on the
coding part. If you come up with your own ideas, you will get extra credits. (up to
10 points)