| Fall 2008 | CS1 at Haverford College (cs105) | |||||||||||||||||
| Before | After | |||||||||||||||||
| Recursion is the repetition of an act until a certain point so recursive design is when a function keeps calling upon itself until a base case (where we know what the answer is) is reached. | ||||||||||||||||||
| Recursion is a program that establishes a base case and then uses a self-referential algorithim to reduce the inputs until the base case is established, at which the program terminates. | guitars :) | |||||||||||||||||
| Recursion is a self-sustaining process. We develop a function that ultimately uses itsef to reduce inputted information to a desired set of information. | Recursion, Recursion, Until the case has reached it's base, recursion, recursionÉ | |||||||||||||||||
| Recursion deals with taking a bigger problem and breaking it down to a simpler problem. Then, once the function arrives at this simpler problem, there should be a way to answer the initial problem. The "simpler" problem listed above is also called the base case while the bigger problem is called the recursive case. | Recursion needs two criteria, a recursive case and a base case. The base case is used as a check for when the recursion is done. | |||||||||||||||||
| Recursion is a process of solving a problem by breaking it into smaller parts and then adding the small parts into a greater whole. The parts become smaller and smaller until a "base case" is reached, which is simply the simplest form of the problem. | I had forgot to say that recursion ends when the base case is reached. I knew this, I just forgot to explain it. | |||||||||||||||||
| You need to write a series of steps to be carried out. The start of the steps is the most simple case, and then the next step is a step that is performed to the first case. Then, the same function is called again within itself until there is nothing else left to us in the parameters. | The base case is usually where there is only one component in the parameter. | |||||||||||||||||
| Basic recurive design involves breaking a problem down into smaller problems in the interest of arriving at avery simple question. This process involves developing a bast case to which we always know the answer. By looking at the smaller sub-problems, we will gradually move towards a questions that one involves the base case as an answer. | The idea of recursion involves returning to the problems we have made, applying the same methodology to each one until we reach the specific base case. | |||||||||||||||||
| Recursion as I know it is a way of thinking and working to accomplish certain kinds of programming. It involves looking at problems or challenges in pieces, solving easy problems that will come together to formulate the solution to your question or problem. | In addition, a key component of recursion is the fact that the programs function by running over themselves, using their first solution as a base the next time to simplify problems. | |||||||||||||||||
| Recursion is a computer technique in which ou essentially use a computer program and use itself to solve itself. Basically, it's a way to go through several instances of your program with different parameters each time. It's very helpful. | Recursion is really just about repeating yourself--well, repeating the computer program until you finish when a particular condition is met. | |||||||||||||||||
| Recursion uses a base case, a simple operation that is repeated a number of times to produce a more complex answer requiring multiple steps of the same operation. Some aspect of the data is simplified with each recursion until the base case is reached. | Recursion can be fun too, possble involving music, singing, and class participation. | |||||||||||||||||
| Recursive design is a form of program which uses itself in the course of the action of that program, so that it repeats until there is a defined endpoint. | The defined endpoint of recursion is called the base case, which is the simplest form of the stated problem analyzed by the program. | |||||||||||||||||
| Recursion is a very complex way of programming. It involves repeating a process in order to accomplish a goal. In this type of programming, the programmer takes a function and writes code that incorporates itself, so it extends inself out, like a tree branch. | ||||||||||||||||||
| For the definition of recursion, see recursion. Seriously though, a recusive call is one that calls itself. In other words, to figure out what n ==, you call program find_n. Find_n works by calling find_n. It only stops calling itself when it reaches a base case determined by the program fnd_n. | Also a fun song. (picture of a guitar) | |||||||||||||||||
| Recursion is the idea that a function can call upon itself to answer the question, (in computer science). So, you will see, in answering the question, the function reoccuring. | The recursion stops when you reach the base case. | |||||||||||||||||
| Recursion is what a function utilizes itself when it is run. The function will continue to refer to inself until a condition is met. Example: x^3 = X * X^2 (these are the same function) = x * x * x^1 (this meets the condition that the exponent = 1, so the function can stop.) | Recursion cycles until the base condition is met. | |||||||||||||||||
| Recursion is when you define a function such that it has one or more base cases and the function calls on itself until a base case is reached. | I don't want to add anything. | |||||||||||||||||
| Recursion is a process through which one may define a function in terms of itself in certain circumstances in order to reduce the problem to a very simple base case. Recursion has downward progress until you reach a base case. | Am B Am BÉ (at top of page) | |||||||||||||||||
| Recursion is where you take a problem and define it using the definition. The causes the problem to get simpler until you end up with the base case which is a defined answer. | Recursion repeats until the base case is reached. | |||||||||||||||||
| Recursion is the programming practice of defining a step that can be used repeatedly to solve a problem, then repeating the step until a known base case is reached. | ||||||||||||||||||
| Recursion uses the same operation over and over on a certain data structure, until we see an indicator that halts the operation. | Great performer. | |||||||||||||||||
| Recursion is the method of defining a function that can be applied to itself. | When the case has reached it's base, it's recursion. : ) | |||||||||||||||||
| Recursion is a program calling itself inside it's program. Eventually the recursion must end of else it will spiral into infinity. | JD is a pretty good singer. | |||||||||||||||||
| Recursion occurs when a function calls upon itself again once the previous function is completed. For example, a power function that occurs one power at a time will call upon itself again and again until the problem is solved. | Recursion is helpful in creating campfire songs. | |||||||||||||||||
| Recursion is a method for finding a simpler instance or instances of the problem. A function takes in an input, and recursion's goal is to make the input simpler until it is so simple it becomes trivial. The "making the input simpler" may call the original function or a new function to "help out." | - | |||||||||||||||||
| A programming technique in which a problem is turned into something that can be reduced into smaller examples of the same problem. With a base case at the end so that eventually it can be solved at the smallest problem. | It's very repetitive and not always particularly efficient. | |||||||||||||||||
| Recursion is a style of programming in which functions call upon themselves, passing smaller and smaller values until a base case is reached. | Sometimes it can be musical! (picture of JD wich guitar) | |||||||||||||||||
| Recursion is a method used in algorithim writing. We look at a problem and identify in it a smaller instance of the same problem, and in the smaller instance and even smaller instance, until we reach a "base case" with an obvious answer. In our algorithim, we make the function return itself until we reach the base case, or base cases. | It's important to note that we don't just return one instance of the base case. Instead, we build our answer by returning a number of iterations of the base case, often added together. Call trees help up to visualize this. | |||||||||||||||||
| If you have a big problem, sometimes you can solve a little bit of it at a time, then throw away each little piece after you solve it until eventually you end up with a simple question (or nothing). This can make a complex question easier by breaking it into little pieces. | Recursion is a way to ask the same question over and over on progressively smaller and smaller subjects until nothing is left (like a spiral getting closer and closer to the center in concentric circles, (or a bull's eye, rather) until you get to the middle, where the candy is). | |||||||||||||||||
| Recursion is a way of approaching the answer of a problem. To solve a problem directly may be difficult, like you have to jump down to the ground from the 3rd floor. But recursion is like setting up a ladder so you can go down step by step. | ||||||||||||||||||
| Recursion is a problem-solving technique in which the output of a computer program is a simpler version of the original problem. For example, the answer to 7+10 is equivalent to the answer to 8+9. You can keep going until you get to 17+0, which is simple enough that the computer program may be written to know the answer to a problem f [number]+0. | The output gets simpler and simpler until it reaches the base case, which can be solved without further recursion. | |||||||||||||||||
| Recursion: A method of writing algorithim. We chop down the question, and make it smaller everytime until it finally hit a very basic/(or sometimes trivial) case. This function will call upon itself everytime repeatedly until we hit a base case. | ||||||||||||||||||
| Recursion is a form of self-referencing until a base case (simplest form) is reached and progress is made with each step. Once the base case (simplest form) is reached, it references back till final answer. | Recursion is repetition of a particular event till the base is raised. | |||||||||||||||||
| Recursion is when you find a smaller problem within a problem and solve this smaller problem. You continue to solve these smaller instances until there are none left. For example, 3^3 would be 3*3^2, which would be 3*3*3! Eventually, you'll hit a base case, in this example, 3! | Nothing | |||||||||||||||||
| WHAT IS RECURSION? -Using a function that calls on itself in one of it's statements. The function should continue to call itself while some progress expression grows smaller with each call. At some base case, recursion should stop. | The call tree should grow upwards, because none of The returns can be completed until The function has reached The base case. | |||||||||||||||||
| Recursion is the process of splitting a larger problem into a smaller problem, again and again until weget to a "trivial" problem where we know the answer already. The using that trivial problem's answer, we solve a more complicated problem, then use that answer to solve even more complicated problems. | The trivial problem is called the "base case." | |||||||||||||||||
| Recursion is a method of problem-solving in which you approach a problem by breaking it into smaller or simpler instances of the problem, solving these, and using those smaller answers to build the answer to the original question. | Recursion with algorithims calls on the algorithim until the answer fits the "base case" which is simple enough to solve without calling on the function again (that is, without breaking the question in a smaller question). | |||||||||||||||||
| Recursion is a method of finding the answer to a question by breaking down the question into smaller questions in which the answers can be found and combined back together to form the answer. | Repeat until it reaches the base case! :) |